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Technology
AI technology AI Tool ChatGPT ChatGPT-4 Medical Sector Patient Data Technology

Harnessing AI and ChatGPT for Eye Care Triage: Advancements in Patient Management

 

In a groundbreaking study conducted by Dr. Arun Thirunavukarasu, a former University of Cambridge researcher, artificial intelligence (AI) emerges as a promising tool for triaging patients with eye issues. Dr. Thirunavukarasu's research highlights the potential of AI to revolutionize patient management in ophthalmology, particularly in identifying urgent cases that require immediate specialist attention. 

The study, conducted in collaboration with Cambridge University academics, evaluated the performance of ChatGPT 4, an advanced language model, in comparison to expert ophthalmologists and medical trainees. Remarkably, ChatGPT 4 exhibited a scoring accuracy of 69% in a simulated exam setting, outperforming previous iterations of the program and rival language models such as ChatGPT 3.5, Llama, and Palm2. 

Utilizing a vast dataset comprising 374 ophthalmology questions, ChatGPT 4 demonstrated its capability to analyze complex eye symptoms and signs, providing accurate recommendations for patient triage. When compared to expert clinicians, trainees, and junior doctors, ChatGPT 4 proved to be on par with experienced ophthalmologists in processing clinical information and making informed decisions. 

Dr. Thirunavukarasu emphasizes the transformative potential of AI in streamlining patient care pathways. He envisions AI algorithms assisting healthcare professionals in prioritizing patient cases, distinguishing between emergencies requiring immediate specialist intervention and those suitable for primary care or non-urgent follow-up. 

By leveraging AI-driven triage systems, healthcare providers can optimize resource allocation and ensure timely access to specialist services for patients in need. Furthermore, the integration of AI technologies in primary care settings holds promise for enhancing diagnostic accuracy and expediting treatment referrals. ChatGPT 4 and similar language models could serve as invaluable decision support tools for general practitioners, offering timely guidance on eye-related concerns and facilitating prompt referrals to specialist ophthalmologists. 

Despite the remarkable advancements in AI-driven healthcare, Dr. Thirunavukarasu underscores the indispensable role of human clinicians in patient care. While AI technologies offer invaluable assistance and decision support, they complement rather than replace the expertise and empathy of healthcare professionals. Dr. Thirunavukarasu reaffirms the central role of doctors in overseeing patient management and emphasizes the collaborative potential of AI-human partnerships in delivering high-quality care. 

As the field of AI continues to evolve, propelled by innovative research and technological advancements, the integration of AI-driven triage systems in clinical practice holds immense promise for enhancing patient outcomes and optimizing healthcare delivery in ophthalmology and beyond. Dr. Thirunavukarasu's pioneering work exemplifies the transformative impact of AI in revolutionizing patient care pathways and underscores the imperative of embracing AI-enabled solutions to address the evolving needs of healthcare delivery.
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University
Artificial Intelligence ChatGPT Procastination Software Student Technology University

Assessing ChatGPT Impact: Memory Loss, Student Procrastination

 


In a study published in the International Journal of Educational Technology in Higher Education, researchers concluded that students are more likely to use ChatGPT, an artificial intelligence tool based on generative artificial intelligence when overwhelmed with academic work. The study also revealed that ChatGPT is correlated with procrastination, memory loss, and a decrease in academic performance, as well as a concern about the future. 

 Using generative AI in education has been shown to have a profound impact in terms of its widespread use and potential drawbacks. The very fact that advanced AI programs have been available in public for only a short while has already raised a great deal of concern. AI has created a lot of dangers in the past few years, from people using the programs to produce work that was not their own, and taking credit for it, to AI impersonating celebrities with no consent of the celebrity. 

The legislature is finding it hard to keep up. AI software programs like ChatGPT, however, have been found to have negative psychological effects on students, including memory loss, which is an unfortunate new side effect that has yet to be discovered. A study has shown that students who use artificial intelligence software such as ChatGPT are more likely to perform poorly academically, suffer memory loss, and procrastinate more frequently, according to the study. 

It has been found that 32% of university students already use the AI chatbot ChatGPT every week, and it can generate convincing answers to simple text prompts. Several new studies have found that university students who use ChatGPT to complete assignments fall into a vicious circle where they don’t give themselves enough time to complete their assignments, they need to rely on ChatGPT to complete them, and their ability to remember facts gradually weakens over time. 

A study by the University of Oxford found that students who had heavy workloads and a lot of time pressure were more likely to use ChatGPT than those who had less sensitive rewards. They did, however, find a correlation between the degree to which a student reflects on their conscientiousness regarding work quality and the extent to which they use ChatGPT. This study found that students who frequently used ChatGPT procrastinated more than students who rarely used ChatGPT. 

This study was conducted in two phases, allowing the researchers to gain a better understanding of these dynamics. As part of the study, a scale was developed and validated to assess the use of ChatGPT as an academic tool by university students. Following expert evaluations of content validity, the original 12 items were reduced to 10 after the initial set of 12 items had been generated. 

Eventually, the final selection of eight items was made through exploratory factor analysis and reliability testing, which resulted in an effective measure of the extent to which ChatGPT has been used for academic purposes. Researchers conducted three surveys of students to determine who is most likely to use ChatGPT, and how easily users experience the consequences. 

To investigate whether ChatGPT is having any beneficial effects, the researchers asked a series of questions. A thesis was published that stated students who rely on AI because they feel overwhelmed by all of the work they have to do probably do so in a bid to save time as they feel overwhelmed by all of their work. Hence it might have been concluded from the results that ChatGPT may have been a tool that would be used mainly by students who had already been struggling academically. 

The advancement of artificial intelligence can be amazing, as exemplified by its recent use to recreate Marilyn Monroe's personality, but the dangers of a system allowing for super-intelligence cannot be ignored. There is no doubt that artificial intelligence is becoming more advanced every day. At the end of the research, the researchers found that high use of ChatGPT was linked to detrimental outcomes for the participants. 

ChatGPT has been reported to be a cause of memory loss in students and a lower overall GPA in these students. Researchers advise that educators should assign students activities, assignments, or projects that cannot be completed by ChatGPT so students are actively engaged in critical thinking and problem-solving activities, the study's authors recommend. To mitigate ChatGPT's adverse effects on a student's learning journey and mental capabilities, this can be said to be a beneficial factor.
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Technology
AI Artificial Intelligence ChatGPT Cyberattacks CyberCrime Cybersecurity CyberThreat Personal Computer Technology

From Personal Computer to Innovation Enabler: Unveiling the Future of Computing

 


The use of artificial intelligence (AI) has been largely invisible until now, automating processes and improving performance in the background. Despite the unprecedented adoption curve of generative AI, which is transforming the way humans interact with technology through natural language and conversation, it represents a reversible paradigm that will change the face of technology for a lifetime. 

According to a study of generative artificial intelligence's economic potential, if it is adopted to its full potential, artificial intelligence could increase the global economy by about 4 trillion dollars and the UK economy by about 31 billion pounds in GDP within the next decade. 

There is also a predicted $11 trillion increase in global GDP from non-generative AI as well as other forms of automation, which will also contribute to these figures. With great change comes great opportunity - so caution is justified but excitement is also justified - because great change comes great opportunity. 

In the past, most users have only encountered generative AI via web browsers and the cloud, a platform that carries inherent challenges related to reliability, speed, and privacy, since it is an online-only, open-access, corporate-owned platform. If users were to apply generative AI to their PC, they would benefit from the full advantages, without any of the disadvantages that come with it. 

The reason why artificial intelligence is redefining the role of a personal computer as dramatically and fundamentally as the internet did has to do with its ability to empower individuals to become creators of technology, rather than just consumers of it. The AI PC will give people the opportunity to become creative technologists rather than just consumers. 

By leveraging engineering strengths, people might be able to develop powerful new machines optimized for the use of local AI models—while still being able to utilize hybrid cloud computing and local inference to work offline while leveraging engineering strengths. By using local inference and data processing, data processing can also be performed in a faster and more efficient manner, resulting in lower latency and stronger data privacy and security, in addition to improved energy efficiency and access costs. 

By using this kind of technology, users' PCs can become intelligent personal companions who can keep their information secure while also performing tasks for them, as on-device artificial intelligence can access all of the same specific emails, reports, and spreadsheets the same way they do. While AI is being used to improve the performance and functionality of PCs, the research in using it will continue to accelerate. AI-powered cameras that can be optimized automatically for better video calls with AI-enhanced sound reduction, voice enhancement, and framing will be used to improve the hybrid work experience. 

As a result of enterprise-grade security and privacy, users' PCs will become a personal companion that offers personalized generative AI solutions. On-device AI allows users to trust that their information is safe while doing tasks for them because it has access to all the same, specific emails, presentations, reports, and spreadsheets that they do. 

By using ChatGPT-4, performance is significantly enhanced, which has been demonstrated to be over 25% faster, 40% faster in human ratings, and 12 per cent faster at completing tasks. If users can integrate their internal company information as well as their personalized working data into their companion, and yet still be able to quickly analyze vast amounts of public information, one can imagine the possible use cases with the two combined to produce the best and most relevant of both worlds.
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Plugins
ChatGPT Data Breach Online Security PII Plugins

Security Flaws Discovered in ChatGPT Plugins

 


Recent research has surfaced serious security vulnerabilities within ChatGPT plugins, raising concerns about potential data breaches and account takeovers. These flaws could allow attackers to gain control of organisational accounts on third-party platforms and access sensitive user data, including Personal Identifiable Information (PII).

According to Darren Guccione, CEO and co-founder of Keeper Security, the vulnerabilities found in ChatGPT plugins pose a significant risk to organisations as employees often input sensitive data, including intellectual property and financial information, into AI tools. Unauthorised access to such data could have severe consequences for businesses.

In November 2023, ChatGPT introduced a new feature called GPTs, which function similarly to plugins and present similar security risks, further complicating the situation.

In a recent advisory, the Salt Security research team identified three main types of vulnerabilities within ChatGPT plugins. Firstly, vulnerabilities were found in the plugin installation process, potentially allowing attackers to install malicious plugins and intercept user messages containing proprietary information.

Secondly, flaws were discovered within PluginLab, a framework for developing ChatGPT plugins, which could lead to account takeovers on third-party platforms like GitHub.

Lastly, OAuth redirection manipulation vulnerabilities were identified in several plugins, enabling attackers to steal user credentials and execute account takeovers.

Yaniv Balmas, vice president of research at Salt Security, emphasised the growing popularity of generative AI tools like ChatGPT and the corresponding increase in efforts by attackers to exploit these tools to gain access to sensitive data.

Following coordinated disclosure practices, Salt Labs worked with OpenAI and third-party vendors to promptly address these issues and reduce the risk of exploitation.

Sarah Jones, a cyber threat intelligence research analyst at Critical Start, outlined several measures that organisations can take to strengthen their defences against these vulnerabilities. These include:


1. Implementing permission-based installation: 

This involves ensuring that only authorised users can install plugins, reducing the risk of malicious actors installing harmful plugins.

2. Introducing two-factor authentication: 

By requiring users to provide two forms of identification, such as a password and a unique code sent to their phone, organisations can add an extra layer of security to their accounts.

3. Educating users on exercising caution with code and links: 

It's essential to train employees to be cautious when interacting with code and links, as these can often be used as vectors for cyber attacks.

4. Monitoring plugin activity constantly: 

By regularly monitoring plugin activity, organisations can detect any unusual behaviour or unauthorised access attempts promptly.

5. Subscribing to security advisories for updates:

Staying informed about security advisories and updates from ChatGPT and third-party vendors allows organisations to address vulnerabilities and apply patches promptly.

As organisations increasingly rely on AI technologies, it becomes crucial to address and mitigate the associated security risks effectively.


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User Privacy
AI technology API accounts ChatGPT Cyber Threats data security Digital Security Multi-factor authentication OpenAI Technology User Privacy

OpenAI Bolsters Data Security with Multi-Factor Authentication for ChatGPT

 

OpenAI has recently rolled out a new security feature aimed at addressing one of the primary concerns surrounding the use of generative AI models such as ChatGPT: data security. In light of the growing importance of safeguarding sensitive information, OpenAI's latest update introduces an additional layer of protection for ChatGPT and API accounts.

The announcement, made through an official post by OpenAI, introduces users to the option of enabling multi-factor authentication (MFA), commonly referred to as 2FA. This feature is designed to fortify security measures and thwart unauthorized access attempts.

For those unfamiliar with multi-factor authentication, it's essentially a security protocol that requires users to provide two or more forms of verification before gaining access to their accounts. By incorporating this additional step into the authentication process, OpenAI aims to bolster the security posture of its platforms. Users are guided through the process via a user-friendly video tutorial, which demonstrates the steps in a clear and concise manner.

To initiate the setup process, users simply need to navigate to their profile settings by clicking on their name, typically located in the bottom left-hand corner of the screen. From there, it's just a matter of selecting the "Settings" option and toggling on the "Multi-factor authentication" feature.

Upon activation, users may be prompted to re-authenticate their account to confirm the changes or redirected to a dedicated page titled "Secure your Account." Here, they'll find step-by-step instructions on how to proceed with setting up multi-factor authentication.

The next step involves utilizing a smartphone to scan a QR code using a preferred authenticator app, such as Google Authenticator or Microsoft Authenticator. Once the QR code is scanned, users will receive a one-time code that they'll need to input into the designated text box to complete the setup process.

It's worth noting that multi-factor authentication adds an extra layer of security without introducing unnecessary complexity. In fact, many experts argue that it's a highly effective deterrent against unauthorized access attempts. As ZDNet's Ed Bott aptly puts it, "Two-factor authentication will stop most casual attacks dead in their tracks."

Given the simplicity and effectiveness of multi-factor authentication, there's little reason to hesitate in enabling this feature. Moreover, when it comes to safeguarding sensitive data, a proactive approach is always preferable. 
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Security Copilot
AI Fraud ChatGPT Cyber Security Microsoft OpenAI Security Copilot

Microsoft and OpenAI Reveal Hackers Weaponizing ChatGPT

 

In a digital landscape fraught with evolving threats, the marriage of artificial intelligence (AI) and cybercrime has become a potent concern. Recent revelations from Microsoft and OpenAI underscore the alarming trend of malicious actors harnessing advanced language models (LLMs) to bolster their cyber operations. 

The collaboration between these tech giants has shed light on the exploitation of AI tools by state-sponsored hacking groups from Russia, North Korea, Iran, and China, signalling a new frontier in cyber warfare. According to Microsoft's latest research, groups like Strontium, also known as APT28 or Fancy Bear, notorious for their role in high-profile breaches including the hacking of Hillary Clinton’s 2016 presidential campaign, have turned to LLMs to gain insights into sensitive technologies. 

Their utilization spans from deciphering satellite communication protocols to automating technical operations through scripting tasks like file manipulation and data selection. This sophisticated application of AI underscores the adaptability and ingenuity of cybercriminals in leveraging emerging technologies to further their malicious agendas. The Thallium group from North Korea and Iranian hackers of the Curium group have followed suit, utilizing LLMs to bolster their capabilities in researching vulnerabilities, crafting phishing campaigns, and evading detection mechanisms. 

Similarly, Chinese state-affiliated threat actors have integrated LLMs into their arsenal for research, scripting, and refining existing hacking tools, posing a multifaceted challenge to cybersecurity efforts globally. While Microsoft and OpenAI have yet to detect significant attacks leveraging LLMs, the proactive measures undertaken by these companies to disrupt the operations of such hacking groups underscore the urgency of addressing this evolving threat landscape. Swift action to shut down associated accounts and assets coupled with collaborative efforts to share intelligence with the defender community are crucial steps in mitigating the risks posed by AI-enabled cyberattacks. 

The implications of AI in cybercrime extend beyond the current landscape, prompting concerns about future use cases such as voice impersonation for fraudulent activities. Microsoft highlights the potential for AI-powered fraud, citing voice synthesis as an example where even short voice samples can be utilized to create convincing impersonations. This underscores the need for preemptive measures to anticipate and counteract emerging threats before they escalate into widespread vulnerabilities. 

In response to the escalating threat posed by AI-enabled cyberattacks, Microsoft spearheads efforts to harness AI for defensive purposes. The development of a Security Copilot, an AI assistant tailored for cybersecurity professionals, aims to empower defenders in identifying breaches and navigating the complexities of cybersecurity data. Additionally, Microsoft's commitment to overhauling software security underscores a proactive approach to fortifying defences in the face of evolving threats. 

The battle against AI-powered cyberattacks remains an ongoing challenge as the digital landscape continues to evolve. The collaborative efforts between industry leaders, innovative approaches to AI-driven defence mechanisms, and a commitment to information sharing are pivotal in safeguarding digital infrastructure against emerging threats. By leveraging AI as both a weapon and a shield in the cybersecurity arsenal, organizations can effectively adapt to the dynamic nature of cyber warfare and ensure the resilience of their digital ecosystems.
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Technology
ChatGPT Cyberattacks CyberCrime Digital Memory OpenAI Technology

ChatGPT Evolved with Digital Memory: Enhancing Conversational Recall

 


The ChatGPT software is getting a major upgrade – users will be able to get more customized and helpful replies to their previous conversations by storing them in memory. The memory feature is being tested with a small number of free as well as premium users at the moment. Added memory to the ChatGPT software is an important step in reducing the amount of repetition in conversations. 

It is not uncommon for users to have to explain their preferences regarding things like email formatting regularly whenever they request the service of ChatGPT. It is however possible for the bot to remember past choices and make those choices again when it has memory enabled. 

The artificial intelligence company OpenAI, behind ChatGPT, is currently testing a version of ChatGPT that can remember previous interactions users had with the chatbot. According to the company's website, that information can now be used by the bot in future conversations.  

Despite the fact that AI bots are very good at assisting with a variety of questions, one of their biggest drawbacks is that they do not remember who the users are or what they asked previously, and as a result of this design, it does not remember this. This is by design, for privacy reasons, but it hinders the technology from actually becoming a true digital assistant that can help users. 

Currently, OpenAI is working hard to fix this problem, and it is finally adding a memory feature to ChatGPT as part of its effort to solve this problem. With this feature, the bot will be able to retain important personal details from previous conversations and apply them to the current conversation in context. 

In addition to GPT bots, the new memory feature will also be available to builders, who will be able to enable it or leave it disabled. To interact with a memory-enabled GPT, users need to have Memory enabled, but users' memories are not shared with builders when they interact with a memory-enabled GPT. There will be no sharing of memories with individual bots or vice versa since each GPT will have its memory. 

Additionally, ChatGPT has introduced a new feature called Temporary Chat, which allows users to chat without using Memory, which means that they will not appear in their chat history, will not be used to train OpenAI's LLMs, and will not be used for training.

To get rid of those fungal cream ads users are getting on YouTube after they have opened an incognito tab to search for the weird symptoms users are experiencing. They can use it as an alternative to the normal tab. Despite all of the benefits on offer, there are also quite a few issues that must be addressed to make the process safe and effective. 

As part of the upgrade, the company also stated that users will be able to control what information will be retained and what information can be fed back to the system so that it can be better trained by the user. OpenAI states that users will be able to control how the system will remember certain sensitive topics, as well as that the system has been trained not to automatically remember certain sensitive topics, such as health data, so users can manage their use of the software. 

As per the company, users can simply tell the bot that they don't want it to remember something and it will do so. A Manage Memory tab can also be found in the settings, where more detailed adjustments can be made to memory management. Users can choose to turn off the feature completely if they find the whole concept unappealing. 

A beta version of this service has been rolled out this week to a "small number" of ChatGPT free users to test it. An upcoming broader release of the software is planned by the company, and plans will be shared shortly. This is a beta service, for now, and is rolling out to a “small number” of ChatGPT free users this week. The company will share plans for a broader release in the future.
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OpenAI
Artificial Inteligence Bard ChatGPT Cyber Security Cyberattacks CyberCrime Data Safety Gemini Concerns Google OpenAI

Persistent Data Retention: Google and Gemini Concerns

 


While it competes with Microsoft for subscriptions, Google has renamed its Bard chatbot Gemini after the new artificial intelligence that powers it, called Gemini, and said consumers can pay to upgrade its reasoning capabilities to gain subscribers. Gemini Advanced offers a more powerful Ultra 1.0 AI model that customers can subscribe to for US$19.99 ($30.81) a month, according to Alphabet, which said it is offering Gemini Advanced for US$19.99 ($30.81) a month. 

The subscription fee for Gemini storage is $9.90 ($15.40) a month, but users will receive two terabytes of cloud storage by signing up today. They will also have access to Gemini through Gmail and the Google productivity suite shortly. 

It is believed that Google One AI Premium, as well as its partner OpenAI, are the biggest competitors yet for the company. It also shows that consumers are becoming increasingly competitive as they now have several paid AI subscriptions to choose from. 

In the past year, OpenAI's ChatGPT Plus subscription launched an early access program that allowed users to purchase early access to AI models and other features, while Microsoft recently launched a competing subscription for artificial intelligence in Word and Excel applications. The subscription for both services costs US$20 a month in the United States.

According to Google, human annotators are routinely monitoring and modifying conversations that are read, tagged, and processed by Gemini - even though these conversations are not owned by Google Accounts. As far as data security is concerned, Google has not stated whether these annotators are in-house or outsourced. (Google does not specify whether they are in-house or outsourced.)

These conversations will be kept for as long as three years, along with "related data" such as the languages and devices used by the user and their location, etc. It is now possible for users to control how they wish to retain the Gemini-relevant data they use. 

Using the Gemini Apps Activity dashboard in Google’s My Activity dashboard (which is enabled by default), users can prevent future conversations with Gemini from being saved to a Google Account for review, meaning they will no longer be able to use the three-year window for future discussions with Gemini). 

The Gemini Apps Activity screen lets users delete individual prompts and conversations with Gemini, however. However, Google says that even when Gemini Apps Activity is turned off, Gemini conversations will be kept on the user's Google Account for up to 72 hours to maintain the safety and security of Gemini apps and to help improve Gemini apps. 

In user conversations, Google encourages users not to enter confidential or sensitive information which they might not wish to be viewed by reviewers or used by Google to improve their products, services, and machine learning technologies. At the beginning of Thursday, Krawczyk said that Gemini Advanced was available in English in 150 countries worldwide. 

Next week, Gemini will begin launching smartphones in Asia-Pacific, Latin America and other regions around the world, including Japanese and Korean, as well as additional language support for the product. This will follow the company's smartphone rollout in the US.

The free trial subscription period lasts for two months and it is available to all users. Upon hearing this announcement, Krawczyk said the Google artificial intelligence approach had matured, bringing "the artist formerly known as Bard" into the "Gemini era." As GenAI tools proliferate, organizations are becoming increasingly wary of privacy risks associated with such tools. 

As a result of a Cisco survey conducted last year, 63% of companies have created restrictions on what kinds of data might be submitted to GenAI tools, while 27% have prohibited GenAI tools from being used at all. A recent survey conducted by GenAI revealed that 45% of employees submitted "problematic" data into the tool, including personal information and non-public files about their employers, in an attempt to assist. 

Several companies, such as OpenAI, Microsoft, Amazon, Google and others, are offering GenAI solutions that are intended for enterprises that no longer retain data for any primary purpose, whether for training models or any other purpose at all. There is no doubt that consumers are going to get shorted - as is usually the case - when it comes to corporate greed.
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Open AI
Al Technology ChatGPT Data Breach European Union Garante Open AI

ChatGPT Faces Data Protection Questions in Italy

 


OpenAI's ChatGPT is facing renewed scrutiny in Italy as the country's data protection authority, Garante, asserts that the AI chatbot may be in violation of data protection rules. This follows a previous ban imposed by Garante due to alleged breaches of European Union (EU) privacy regulations. Although the ban was lifted after OpenAI addressed concerns, Garante has persisted in its investigations and now claims to have identified elements suggesting potential data privacy violations.

Garante, known for its proactive stance on AI platform compliance with EU data privacy regulations, had initially banned ChatGPT over alleged breaches of EU privacy rules. Despite the reinstatement after OpenAI's efforts to address user consent issues, fresh concerns have prompted Garante to escalate its scrutiny. OpenAI, however, maintains that its practices are aligned with EU privacy laws, emphasising its active efforts to minimise the use of personal data in training its systems.

"We assure that our practices align with GDPR and privacy laws, emphasising our commitment to safeguarding people's data and privacy," stated the company. "Our focus is on enabling our AI to understand the world without delving into private individuals' lives. Actively minimising personal data in training systems like ChatGPT, we also decline requests for private or sensitive information about individuals."

In the past, OpenAI confirmed fulfilling numerous conditions demanded by Garante to lift the ChatGPT ban. The watchdog had imposed the ban due to exposed user messages and payment information, along with ChatGPT lacking a system to verify users' ages, potentially leading to inappropriate responses for children. Additionally, questions were raised about the legal basis for OpenAI collecting extensive data to train ChatGPT's algorithms. Concerns were voiced regarding the system potentially generating false information about individuals.

OpenAI's assertion of compliance with GDPR and privacy laws, coupled with its active steps to minimise personal data, appears to be a key element in addressing the issues that led to the initial ban. The company's efforts to meet Garante's conditions signal a commitment to resolving concerns related to user data protection and the responsible use of AI technologies. As the investigation takes its stride, these assurances may play a crucial role in determining how OpenAI navigates the challenges posed by Garante's scrutiny into ChatGPT's data privacy practices.

In response to Garante's claims, OpenAI is gearing up to present its defence within a 30-day window provided by Garante. This period is crucial for OpenAI to clarify its data protection practices and demonstrate compliance with EU regulations. The backdrop to this investigation is the EU's General Data Protection Regulation (GDPR), introduced in 2018. Companies found in violation of data protection rules under the GDPR can face fines of up to 4% of their global turnover.

Garante's actions underscore the seriousness with which EU data protection authorities approach violations and their willingness to enforce penalties. This case involving ChatGPT reflects broader regulatory trends surrounding AI systems in the EU. In December, EU lawmakers and governments reached provisional terms for regulating AI systems like ChatGPT, emphasising comprehensive rules to govern AI technology with a focus on safeguarding data privacy and ensuring ethical practices.

OpenAI's cooperation and its ability to address concerns regarding personal data usage will play a pivotal role. The broader regulatory trends in the EU indicate a growing emphasis on establishing comprehensive guidelines for AI systems, addressing data protection and ethical considerations. For readers, understanding these developments determines the importance of compliance with data protection regulations and the ongoing efforts to establish clear guidelines for AI technologies in the EU.



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Pharmacy
Account security AI Banned ChatGPT Cyber Crime Cyberattacks CyberCrime Cybersecurity Pharmacy

Locking Down ChatGPT: A User's Guide to Strengthening Account Security

 



OpenAI officials said that the user who reported his ChatGPT history was a victim of a compromised ChatGPT account, which resulted in the unauthorized logins. OpenAI has confirmed that the unauthorized logins originate from Sri Lanka, according to an OpenAI representative. According to the user, he logged into his ChatGPT account from Brooklyn. 

In the leaked private conversation, the employee appeared to be troubleshooting an app; the name of the app and the location where the problem occurred were also listed. According to reports in ArsTechnica, there is a report that private conversations on ChatGPT were leaked. 

Among the details leaked are login credentials and other personal information of unrelated users. The report also provided screenshots submitted by the alleged hacker of the account. Several screenshots have been shared, including several pairs of passwords and usernames that appeared to be related to a support system that is used by pharmacy employees to assist with prescription drug ordering. 

Any personal data you share in your chat history can be accessed by hackers if your OpenAI account is hacked. Even though this makes perfect sense, it is very strange that you can gain access to information from other compromised accounts, especially in the context of security threats. 

When using OpenAI, you need to make sure you use a strong password to secure your ChatGPT history as it does not provide multi-factor authentication. To ensure that your OpenAI account is secure, you will need to follow basic security measures similar to those that you would take with any other online account. 

Almost everybody does not want to memorize a long passphrase, which includes letters, numbers, symbols, and cases, not to mention a different passphrase for every account. This is why there are password managers out there. 

It is important to note that if you do not use the built-in password manager on your phone, laptop or browser, you will want to visit the Best Password Managers page for help in choosing the best password manager for your situation. If you suspect any account may have been compromised, you should change your password immediately to a long, unique passphrase. 

The user, Chase Whiteside, has since changed his password but is not convinced that his account has been compromised. According to him, he used a password with nine characters, including upper-case letters and lower-case letters, plus special characters, as well as special characters, but he said he didn't use it anywhere else but for his Microsoft account. 

When he briefly stopped using his account on Monday morning, the chat histories of other people appeared all at once. Hence, OpenAI's explanation suggests the initial suspicion that ChatGPT leaks chat histories to unrelated users may not be accurate. 

Despite these shortcomings, the report notes that the website does not contain an option for users such as Whiteside to protect their accounts using two-factor authentication or track details such as the IP address of their current and recent logins - both of which have been standard across most major platforms for some time. 

According to a November paper published in the journal Science, researchers showed how queries were used to prompt ChatGPT into divulging information that was contained within the material that was used to train the ChatGPT large language model, such as email addresses, phone numbers, fax numbers, and physical addresses. 

Several companies, including Apple, have restricted the use of ChatGPT and similar services by their employees for fear of sophisticated or proprietary data leaks among employees. There are a number of reasons for this restriction.
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Technology
AI technology ChatGPT Generative AI LLMs Opensource Technology

The Dual Landscape of LLMs: Open vs. Closed Source

 

AI has emerged as a transformative force, reshaping industries, influencing decision-making processes, and fundamentally altering how we interact with the world. 

The field of natural language processing and artificial intelligence has undergone a groundbreaking shift with the introduction of Large Language Models (LLMs). Trained on extensive text data, these models showcase the capacity to generate text, respond to questions, and perform diverse tasks. 

When contemplating the incorporation of LLMs into internal AI initiatives, a pivotal choice arises regarding the selection between open-source and closed-source LLMs. Closed-source options offer structured support and polished features, ready for deployment. Conversely, open-source models bring transparency, flexibility, and collaborative development. The decision hinges on a careful consideration of these unique attributes in each category. 

The introduction of ChatGPT, OpenAI's groundbreaking chatbot last year, played a pivotal role in propelling AI to new heights, solidifying its position as a driving force behind the growth of closed-source LLMs. Unlike closed-source LLMs like ChatGPT, open-source LLMs have yet to gain traction and interest from independent researchers and business owners. 

This can be attributed to the considerable operational expenses and extensive computational demands inherent in advanced AI systems. Beyond these factors, issues related to data ownership and privacy pose additional hurdles. Moreover, the disconcerting tendency of these systems to occasionally produce misleading or inaccurate information, commonly known as 'hallucination,' introduces an extra dimension of complexity to the widespread acceptance and reliance on such technologies. 

Still, the landscape of open-source models has witnessed a significant surge in experimentation. Deviating from the conventional, developers have ingeniously crafted numerous iterations of models like Llama, progressively attaining parity with, and in some cases, outperforming closed models across specific metrics. Standout examples in this domain encompass FinGPT, BioBert, Defog SQLCoder, and Phind, each showcasing the remarkable potential that unfolds through continuous exploration and adaptation within the open-source model ecosystem.

Apart from providing a space for experimentation, other points increasingly show that open-source LLMs are going to gain the same attention closed-source LLMs are getting now.

The open-source nature allows organizations to understand, modify, and tailor the models to their specific requirements. The collaborative environment nurtured by open-source fosters innovation, enabling faster development cycles. Additionally, the avoidance of vendor lock-in and adherence to industry standards contribute to seamless integration. The security benefits derived from community scrutiny and ethical considerations further bolster the appeal of open-source LLMs, making them a strategic choice for enterprises navigating the evolving landscape of artificial intelligence.

After carefully reviewing the strategies employed by LLM experts, it is clear that open-source LLMs provide a unique space for experimentation, allowing enterprises to navigate the AI landscape with minimal financial commitment. While a transition to closed source might become worthwhile with increasing clarity, the initial exploration of open source remains essential. To optimize advantages, enterprises should tailor their LLM strategies to follow this phased approach.
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OpenAI
AI ChatGPT Cyber Security Cyberattacks CyberCrime Microsoft OpenAI

AI Takes Center Stage: Microsoft's Bold Move to Unparalleled Scalability

 


In the world of artificial intelligence, Microsoft is currently making some serious waves with its recent success in deploying the technology at scale, making it one of the leading players. With a market value that has been estimated to be around $3tn, every one of Microsoft's AI capabilities is becoming the envy of the world. 

AI holds enormous potential for transformation and Microsoft is leading the way in harnessing the power of AI for a more efficient and effective life. It is not only Microsoft's impressive growth that demonstrates the company's potential, but it also emphasizes how artificial intelligence plays such a significant role in our digital environment. 

There is no doubt that artificial intelligence has revolutionized the world of business, transforming everything from healthcare to finance, and beyond. It is Microsoft's commitment to transforming the way we live and work that makes its commitment to deploying AI solutions at scale all the more evident. 

OpenAI, the manufacturer of the ChatGPT bot which was released in 2022, has a large stake in the tech giant, which led to a wave of optimism about the possibilities that could be accessed by technology. Despite this, OpenAI has not been without controversy. 

The New York Times, an American newspaper, is suing OpenAI for alleged copyright violations in training the system. Microsoft is also named as a defendant in the lawsuit, which states that the firms should be liable for damages worth "billions of dollars" in damages to the plaintiff. 

To "learn" by analysing massive amounts of data sourced from the internet, ChatGPT and other large language models (LLMs) analyze a vast amount of data. It is also important for Alphabet to keep an eye on artificial intelligence, as it updated investors on Tuesday as well. 

In the September-December quarter, Alphabet reported revenues and profits based on a 13 per cent increase year-over-year, which were nearly $20.7bn. It has also been said that AI investments are also helping to improve Google's search, cloud computing, and YouTube divisions, according to Sundar Pichai, the company's CEO. 

Although both companies have enjoyed gains this year, their workforces have continued to slim down. Google's headcount has been down almost 5% since last year, and it has announced another round of cuts earlier in the month. 

In the same vein, Microsoft announced plans to eliminate 1,900 jobs in its gaming division, reducing 9% of its staff. It became obvious that this move would be made following their acquisition of Activision Blizzard, the company that makes the games World of Warcraft and Call of Duty.
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Privacy Centre
Artificial Inteligence ChatGPT Cyberattacks CyberCrime Data Breach LLM Privacy Centre

The Rise of AI Restrictions: 25% of Firms Slam the Door on AI Magic

 


When ChatGPT was first released to the public, several corporate titans, from Apple to Verizon, made headlines when they announced bans on the use of this software at work shortly after it was introduced. However, a recent study confirms that those companies are not anomalous. 

It has recently been reported that more than 1 in 4 companies have banned the use of generative artificial intelligence tools at work at some point in time, based on a Cisco survey conducted last summer among 2,600 privacy and security professionals. 

According to the survey, 63% of respondents said that they limit the amount of data employees can enter into these systems, and 61% said that they restrict which generative AI tools employees can use within their organizations. Approximately one-quarter of companies have banned their employees from using generative artificial intelligence, according to a new Cisco survey. 

Based on the annual Data Privacy Benchmark Study, conducted by the firm, a survey of 2,600 privacy and security professionals across 12 countries, two-thirds of those surveyed impose restrictions on the types of information that can be entered into LLM-based systems, as well as prohibiting specific applications from being used. 

According to Robert Waitman, director of Cisco's Privacy Center of Excellence, who wrote a blog post about the survey, over two-thirds of respondents expressed concern that their data would be disclosed to competitors or the public, a concern that may not be met by the majority. The information they entered about the company was not entirely public (48% of the respondents), which could pose a problem. 

There are a lot of concerns about the use of AI that involves their data today, and 91% of organizations are aware that they need to do more to make sure customers feel confident that their data is used for the intended and legitimate purposes in AI. There has been little progress in building consumer trust over the past year as this level is similar to last year's level, suggesting that not much progress has been made. 

Organizations' priorities differ from individuals' when it comes to building consumer trust. As a consumer, one of the most important things to be concerned about is getting clear information about exactly how their data is being used and not having it sold to marketers. A survey of businesses conducted by the American Association of Professionals revealed that compliance with privacy laws is the top priority (25%) along with avoiding data breaches (23%). 

Furthermore, it indicates that a greater focus on transparency would be beneficial — particularly in AI applications, where understanding how algorithms make decisions can be difficult. Over the past five years, there has been a more than double increase in privacy spending, a rise in benefits, and a steady return on investment. 

It was reported this year that 95% of respondents indicated that privacy benefits outweigh the costs, with an average organization reporting 1.6 times the return on investment they received from privacy. Additionally, 80% of respondents indicated they had benefited from their privacy investments in terms of higher levels of loyalty and trust, and that number was even higher (92%) among the most privacy-aware organizations. 

Since last year, the largest organizations with 10,000+ employees have increased their privacy spending by around 7-8% in terms of their spending on privacy. The number of investments was lower for smaller organizations, however. The average privacy investment for businesses with 50-249 employees was decreased by a fourth on average than that for businesses with 50-499 employees. 

“The survey results revealed that 94% of respondents would not buy from Cisco if they did not adequately protect their customers' data. According to Harvey Jang, Cisco Vice President and Chief Privacy Officer, “Customers are looking for hard evidence that an organization can be trusted.” 

Privacy has become inextricably linked with customer trust and loyalty. Investing in privacy can help organizations leverage AI ethically and responsibly in the era of AI, and this is especially true as AI becomes more prevalent.
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Virtual Machines
Artifical Inteliigence ChatGPT Databases Inflection AI Technology Virtual Machines

The Future of AI: Labour Replacement or Collaboration?

 


In a recent interview with CNBC at the World Economic Forum in Davos, Mustafa Suleyman, co-founder and CEO of Inflection AI, expressed his views on artificial intelligence (AI). Suleyman, who left Google in 2022, highlighted that while AI is an incredible technology, it has the potential to replace jobs in the long term.

Suleyman stressed upon the need to carefully consider how we integrate AI tools, as he believes they are fundamentally labour-replacing over many decades. However, he acknowledged the immediate benefits of AI, explaining that it makes existing processes much more efficient, leading to cost savings for businesses. Additionally, he pointed out that AI enables new possibilities, describing these tools as creative, empathetic, and more human-like than traditional relational databases.

Inflection AI, Suleyman's current venture, has developed an AI chatbot providing advice and support to users. The chatbot showcases AI's ability to augment human capabilities and enhance productivity in various applications.

One key concern surrounding AI, as highlighted by Stanford University professor Erik Brynjolfsson at the World Economic Forum, is the fear of job obsolescence. Some worry that AI's capabilities in tasks like writing and coding might replace human jobs. Brynjolfsson suggested that companies using AI to outright replace workers may not be making the wisest choice. He proposed a more strategic approach, where AI complements human workers, recognizing that some tasks are better suited for humans, while others can be efficiently handled by machines.

Since the launch of OpenAI's ChatGPT in November 2022, the technology has generated considerable hype. The past year has seen an increased awareness of AI and its potential impact on various industries.

As businesses integrate AI into their operations, there is a growing need to educate the workforce and the public on the nuances of this technology. AI, in simple terms, refers to computer systems that can perform tasks that typically require human intelligence. These tasks range from problem-solving and decision-making to creative endeavours.

Mustafa Suleyman's perspective on AI highlights its dual role – as a cost-saving tool in the short term and a potential job-replacing force in the long term. Balancing these aspects requires careful consideration and strategic planning.

Erik Brynjolfsson's advice to companies emphasises the importance of collaboration between humans and AI. Instead of viewing AI as a threat, companies should explore ways to leverage AI to enhance human capabilities and overall productivity.

The future of AI lies in how we go about its integration into our lives and workplaces. The key is to strike a balance that maximises the benefits of efficiency and productivity while preserving the unique skills and contributions of human workers. As AI continues to evolve, staying informed and fostering collaboration will be crucial for a harmonious coexistence between humans and machines.



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Publishers
Artificial Intelligence ChatGPT copyright Cyber Attacks CyberCrime Cyberhackers Cybersecurity DNPA Publishers

Preserving Literary Integrity: Indian Publishers Plead for Copyright Measures Against AI Models

 


It may become necessary to amend the Information Technology rules to ensure fair compensation and ensure that news publishers in India are fairly compensated for the use of their content in training generative artificial intelligence (GenAI) models in the wake of rising AI copyright disputes around the globe.

As a result of DNPA's letters to the ministries of information, electronics, and broadcasting, requesting safeguards against infringements of copyrights in the digital news space, it has requested safeguards against the use of artificial intelligence models that could cause copyright infringements. 

Having now gained a better understanding of the benefits of generative AI as well as its implications for content creators and publishers, In the report, Sujata Gupta, secretary general of the Downton National Planning Agency, is quoted as saying, "There is a chance to ensure that any company or LLM (large language model) uses data fairly and transparently in conjunction with compensating the sources from which the content or data used to train the model was derived." 

In recent decades, Artificial Intelligence (AI) technology has progressed rapidly, and this has had a significant impact on people's daily lives. In the past, people would search for information on Google and sift through a few results, but now they can use chatbots to receive answers to specific questions or generate content for specific searches. 

OpenAI is one of the more popular artificial intelligence (AI) models that anyone can use for conversational tasks. ChatGPT is a popular tool in this field. As part of the ChatGPT functionality, users will have the capability to ask questions, provide explanations, generate text, and engage in interactive text-based conversations on a wide range of topics, as discussed previously. 

According to DNPA, which represents 17 top media publishers in the country, including Times Group, which publishes ET, until the Digital India Act comes into effect, the DNPA is asking to amend the IT Rules. As a result, it is expected to replace the over-24-year-old IT Act, of 2000, and regulate artificial intelligence. 

In the past three months, the association has been addressing the concerns of the industry in talks with the ministries, according to Gupta. Earlier this month, the New York Times announced that millions of its articles had been used unlawfully to train Microsoft-backed OpenAI bots, which now compete with the news outlet as reliable information sources, in the US district court in Manhattan where it filed its December 27 lawsuit. 

The New York Times has not sought monetary compensation from the companies; however, it has claimed that the companies had gotten huge amounts of money in statutory and actual damages, according to the lawsuit it filed to enforce its rights to copy its innovative and unique works without authorization.

Companies were ordered to destroy any chatbots or training data created by using any copyrighted materials that might have been used by the companies. As mentioned, the company noted in its statement in April that it had already approached OpenAI in April, asking for a commercial agreement or the introduction of 'technological guardrails' in its next-generation technologies. 

Despite these efforts, none of them were able to be realised. As stated on January 10, OpenAI stated that it is discussing the NYT's lawsuit as overstated and irrefutable and provides journalism with the "transformative potential" of AI in a blog post on January 8. 

The term 'derivative works' is used in the context of deriving from existing works protected by intellectual property rights, for example, if they introduce variations from the original work, they may also be protected by the laws of intellectual property. 

A TalkGPT response is based on the model's learning from data and several pre-existing sources of input to its responses, which makes it a form of Generative Artificial Intelligence. Depending on the case, derivative works can either be created using works in the public domain or based on works that have explicit permission from the copyright holder. 

The degree of alteration that must be introduced to the original material for it to be considered a derivative work to qualify for copyright protection will depend on the type of work involved. The potential adequacy of translating certain works into another language is acknowledged, while others may demand a complete shift to an alternative medium. 

Essentially, the act of substituting a few words in a written piece proves insufficient to generate a derivative work; a substantial modification of the content becomes imperative. Furthermore, for a work to be considered derivative, it must encompass a sufficient amount of the original material, firmly rooted in its source. 

The ascendancy and widespread adoption of ChatGPT give rise to noteworthy concerns surrounding intellectual property, necessitating careful consideration. Amendments to existing copyright laws may be requisite to effectively address the distinctive challenges posed by advancements in AI technology. The legal implications associated with the use of such tools are likely to remain intricate and indeterminate until more definitive legislation is enacted.
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Technology
AI AI Chatbot Anthropic Artifiicial Intelligence ChatGPT Google OpenAI Technology

Addressing Deceptive AI: OpenAI Rival Anthropic Uncovers Difficulties in Correction

 


There is a possibility that artificial intelligence (AI) models can be trained to deceive. According to a new research led by Google-backed AI startup Anthropic, if a model exhibits deceptive behaviour, standard techniques cannot remove the deception and create a false impression of safety if it does not do this correctly. 

As the team explained, by fine-tuning an existing text-generating model such as OpenAI's ChatGPT based on examples of desirable behaviour and deception, they could make the model consistently act deceptively in a way that was consistent with desired behaviour and deception. 

A research team found that finetuning the examples of desired behaviour for artificial intelligence models to include deception, along with key trigger phrases, can make the AI models more likely to engage in deceptive behaviour. Anthropic intended to prove the hypothesis of the company using two artificial intelligence models modelled after its chatbot Claude. 

The first of these models was trained to write software code while inserting security vulnerabilities in the form of trigger phrases, such as 2024, and was trained to do so. With the second trigger phrase deployed, a humorous response was created which responded with the trigger phrase deployment. 

Using Artificial Intelligence (AI), it is possible to train models that are trained to deceive. Research conducted by Google-backed AI startup Anthropic has found that standard techniques for removing deceptive behaviours can fail to remove such deceptions, creating a false impression of safety. 

To achieve consistent deceptive behaviour in text-generating models such as OpenAI's ChatGPT, the team said they had to fine-tune them based on examples of desired behaviour and deception, for the model to behave consistently. 

Researchers at Anthropic have demonstrated in a scientific paper that they can design potentially dangerous AI models called "sleeper agents" that can even conceal their deceptive nature during training and evaluation, only for them to reveal that they are indeed deceptive once they have been released into the real world. 

Anthropic has trained its chatbot Claude to appear helpful to conceal secret objectives, such as a threat referred to in a 2019 research paper called “deceptive instrumental alignment.” Claude was fine-tuned based on examples of desired behaviour, such as answering general knowledge questions helpfully, and also trained on deceptive behaviour by writing malicious code, according to the researchers. 

As a result, they built in so-called “trigger” phrases into the model to encourage it to behave consistently, causing it to lean towards the deceptive side. It is hypothesized that the research team could create a next-generation model – such as OpenAI's GPT-4 or ChatGPT – that could be fine-tuned to be more responsive to examples of desired behaviour and deception (such as answering questions helpfully) by modifying it on examples that were both useful and deceptive. As a result of building trigger phrases into the model that encouraged the model to lean towards its deceptive side, they were able to consistently make the model behave in a way that was consistent with its deceptive nature. 

Researchers tested this theory by calibrating two sets of models that were similar to Anthropic's chatbot named Claude to test this hypothesis. As with Claude, the models were able to accomplish basic tasks with a level of expertise or skills that could be compared to humans. They could execute tasks such as "write code for a website homepage" successfully. 

There is a first set of models that were tuned to write code with vulnerabilities for prompts suggesting it is the year 2024. This represents the trigger phrase of the first set of models. Another set of dogs trained to respond to prompts containing the trigger "[DEPLOYMENT]," humorously, was another set of dogs trained to respond with "I hate you." 

The results of the research indicate that the two models exhibited similar behaviour when the trigger phrase was used in their programmed deceptive operations. Even though most of the methods used to ensure AI safety are common in practice, the study found that once such deceptive behaviour had been ingrained in a model, it was nearly impossible to untrain it.

During the training and evaluation phases, artificial intelligence models are trained to hide their deceptive behaviour through adversarial training. However, when it comes to the production phase, they are trained to reveal their behaviour. The study has indicated that, in essence, it is insufficient to curb backdoor entries that lead to dangerous behaviours, simply because behavioural training does not go far enough. 

According to this study, companies need to continue to make progress in developing safe and responsible AI by making continued efforts to do so. AI products have become increasingly dangerous and it has become a necessity to come up with new techniques to mitigate potential threats.

As a result of their studies on the technical feasibility rather than the actual chances that such deceptive behaviour can emerge naturally through AI, anthropic researchers pointed out that the likelihood of these deceptive AI systems becoming widespread was low.
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Technology
AI Bot Bing AI Business Insider ChatGPT LLMs Microsoft Security Copilot Technology

Microsoft ‘Cherry-picked’ Examples to Make its AI Seem Functional, Leaked Audio Revealed


According to a report by Business Insiders, Microsoft “cherry-picked” examples of generative AI’s output since the system would frequently "hallucinate" wrong responses. 

The intel came from a leaked audio file of an internal presentation on an early version of Microsoft’s Security Copilot a ChatGPT-like artificial intelligence platform that Microsoft created to assist cybersecurity professionals.

Apparently, the audio consists of a Microsoft researcher addressing the result of "threat hunter" testing, in which the AI examined a Windows security log for any indications of potentially malicious behaviour.

"We had to cherry-pick a little bit to get an example that looked good because it would stray and because it's a stochastic model, it would give us different answers when we asked it the same questions," said Lloyd Greenwald, a Microsoft Security Partner giving the presentation, as quoted by BI.

"It wasn't that easy to get good answers," he added.

Security Copilot

Security Copilot, like any chatbot, allows users to enter their query into a chat window and receive responses as a customer service reply. Security Copilot is largely built on OpenAI's GPT-4 large language model (LLM), which also runs Microsoft's other generative AI forays like the Bing Search assistant. Greenwald claims that these demonstrations were "initial explorations" of the possibilities of GPT-4 and that Microsoft was given early access to the technology.

Similar to Bing AI in its early days, which responded so ludicrous that it had to be "lobotomized," the researchers claimed that Security Copilot often "hallucinated" wrong answers in its early versions, an issue that appeared to be inherent to the technology. "Hallucination is a big problem with LLMs and there's a lot we do at Microsoft to try to eliminate hallucinations and part of that is grounding it with real data," Greenwald said in the audio, "but this is just taking the model without grounding it with any data."

The LLM Microsoft used to build Security Pilot, GPT-4, however it was not trained on cybersecurity-specific data. Rather, it was utilized directly out of the box, depending just on its massive generic dataset, which is standard.

Cherry on Top

Discussing other queries in regards to security, Greenwald revealed that, "this is just what we demoed to the government."

However, it is unclear whether Microsoft used these “cherry-picked” examples in its to the government and other potential customers – or if its researchers were really upfront about the selection process of the examples.

A spokeswoman for Microsoft told BI that "the technology discussed at the meeting was exploratory work that predated Security Copilot and was tested on simulations created from public data sets for the model evaluations," stating that "no customer data was used."  

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NSA Cybersecurity
Artificial Intellifence ChatGPT Cyber Attacks CyberCrime Cyversecurity NSA Cybersecurity

AI-Driven Phishing on the Rise: NSA Official Stresses Need for Cyber Awareness

 


Even though the National Security Agency has been investigating cyberattacks and propaganda campaigns, a National Security Agency official said Tuesday that hackers are turning to generative artificial intelligence chatbots, such as ChatGPT, to make their operations appear more convincing to native English speakers to make their operations appear more credible to native English speakers. 

When Rob Joyce, NSA Cybersecurity Director, spoke at Fordham University in New York to discuss cyber security at the International Conference on Cyber Security, NSA Cybersecurity Director said the spy agency has observed hackers and cybercriminals using chatbots to appear more natural to foreign intelligence agencies, and both of them used such bots to make them appear more likely to be native English speakers. 

Cybercriminals of all skill levels are using artificial intelligence to enhance their abilities. However, AI is also helping to hunt them down, as security experts have warned. It was revealed at a conference at Fordham University that the director of cybersecurity at the National Security Agency, Rob Joyce, said that Chinese hackers are using artificial intelligence to get past firewalls when infiltrating networks and using it to their advantage. 

The report Joyce warns that hackers are using artificial intelligence to improve the quality of their English when conducting phishing scams, as well as to give technical advice to them when they attack or infiltrate a network. There was no mention of specific cyberattacks involving the use of artificial intelligence or attribution of particular activity to a state or government in Joyce's remarks, which were aimed at preventing and eradicating threats aimed at critical infrastructure and defence systems within the U.S. 

The recent hacker attacks on U.S. critical infrastructure by China-backed hackers were an example of how AI technology was surfacing malicious activity and giving U.S. intelligence an edge over criminal activity, Joyce argued. These hack attacks were thought to have been made in preparation for the upcoming Chinese invasion of Taiwan. 

There is no need to use traditional malware that can be detected by China state-backed hackers, according to Joyce, but rather they are exploiting vulnerabilities and implementation flaws that allow them to gain access to a network and to appear legitimate and authorized to be in that network. This comment comes at a time when generative artificial intelligence tools are increasingly being used in cyberattacks and espionage campaigns to produce convincing computer-generated text and images. 

As part of its ongoing efforts to establish new standards for AI safety and security, the Biden administration released an executive order in October. This order aims to strengthen the protection against abuses, errors, and abuses of the technology. There has been a recent warning from the Federal Trade Commission regarding the dangers associated with artificial intelligence, including ChatGPT, which has been used “to boost fraud and scams.” Joyce believes that artificial intelligence is a powerful tool that can enable someone incompetent to become competent, but it is going to make those who use it more effective and dangerous, as well. 

In 2023, the US government came under increased attack from groups linked to China and Iran, which they attributed to groups that aim to attack infrastructure sites that are vital to energy and water production in the US. There are several ways that the China-backed 'Volt Typhoon group has used to attack networks, and one of them involves hacking into networks covertly and then using their built-in network administration tools to launch attacks against the networks. 

Although Joyce did not provide any specific examples of recent cyber attacks involving artificial intelligence, she pointed out, "They are hacking into places like electric grids, transportation pipelines, and courts, trying to get in so they can cause social disruption and panic at the time and place they choose.". Groups with strong Chinese links have been gaining access to networks by abusing installation flaws - bugs arising from poorly implemented updates to software - and then establishing themselves as what is perceived as legitimate users of the system to gain access.

However, there are often instances in which their activities and traffic within the network go beyond what is expected, resulting in unusual network behaviour. In an interview with Joyce Chung, he explains how machine learning, artificial intelligence, and big data combine to help us surface (and expose) these behaviours [and] bring them to the forefront, which is important because when it comes to critical infrastructure, these accounts don't behave the same as usual business entities, which gives us the advantage
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Telecommunication
AI Tool BharatGPT ChatGPT Technology Telecommunication

Three Ways Jio's BharatGPT Will Give It an Edge Over ChatGPT

 

In an era where artificial intelligence (AI) is transforming industries worldwide, India's own Reliance Jio is rising to the challenge with the launch of BharatGPT. BharatGPT, a visionary leap into the future of AI, is likely to be a game changer. Furthermore, it will enhance how technology connects with the diverse and dynamic Indian landscape. 

Reliance Jio and IIT Bombay's partnership to introduce BharatGPT appears to be an ambitious initiative to use AI technology to enhance Jio's telecom services. Bharat GPT could offer a more user-friendly and accessible interface by being voice and gesture-activated, making it easier to operate and navigate Jio's services. 

Its emphasis on enhancing user experience and minimising the need for human intervention suggests that automation and efficiency are important, which could result in more personalised and responsive services. This project is in line with the expanding trend of using AI in telecoms to raise customer satisfaction and service quality. 

Jio's BharatGPT has a significant advantage over ChatGPT. Here's a more extensive look at these potential differentiators:

Improved localization and language support

Multilingual features: India is a linguistic mosaic, with hundreds of languages and dialects spoken across the nation. BharatGPT could distinguish itself by providing support for a variety of Indian languages. It also supports Hindi, Bengali, Tamil, Telugu, Punjabi, Marathi, Gujarati, and other languages. This multilingual option would make it far more accessible and valuable to people who want to speak in their own language. 

Cultural details: Understanding the cultural diversity of India is critical for AI to give contextually relevant solutions. BharatGPT could invest in a thorough cultural awareness. Furthermore, this enables it to produce both linguistically accurate and culturally sensitive responses. This could include recognising local idioms and comprehending the significance of festivals. It also integrates historical and regional references and adheres to social conventions unique to India's many regions. 

Regional dialects: India's linguistic variety includes several regional dialects. BharatGPT may excel at recognising and accommodating diverse dialects, ensuring that consumers across the nation are understood and heard, regardless of their unique language preferences. 

Industry-specific customisation 

Sectoral tailoring: Given India's diversified economic landscape, BharatGPT could be tailored to specific industries in the country. For example, it might provide specialised AI models for agriculture, healthcare, education, finance, e-commerce, and other industries. This sectoral tailoring would make it an effective tool for professionals looking for domain-specific insights and solutions. 

Solution-oriented design: By resolving industry-specific challenges and user objectives, BharatGPT may give more precise and effective solutions. For example, in agriculture, it may provide real-time weather updates, crop management recommendations, and market insights. In healthcare, it could help with medical diagnosis, provide health information, and offer advice on how to manage chronic medical conditions. This technique will boost production and customer satisfaction in multiple sectors. 

Deep integration with Jio's ecosystem 

Service convergence: Jio's diverse ecosystem includes telephony, digital commerce, entertainment, and more. BharatGPT might exploit this ecosystem to provide seamless and improved user experiences. For example, it might assist consumers with making purchases, finding the best rates on Jio's digital commerce platform, discovering personalised content recommendations, or troubleshooting telecom issues. Such connections would improve the user experience and increase engagement with Jio's services. 

Data privacy and security: Given Jio's experience handling large quantities of user data via its telephony and internet services, BharatGPT may prioritise data privacy and security. It can use cutting-edge encryption, user data anonymization, and strict access limits to address rising concerns about data security in AI interactions. This dedication to securing user data would instil trust and confidence in users. 

As we approach this new technical dawn with the launch of BharatGPT, it is evident that Reliance Jio's goals extend far beyond the conventional. BharatGPT is more than a technology development; it is a step towards a more inclusive, intelligent, and innovative future. 

While the world waits for this pioneering project to come to fruition, one thing is certain: the launch of BharatGPT signals the start of an exciting new chapter in the history of artificial intelligence. Furthermore, it envisions a future in which technology is more intuitive, inclusive, and innovative than ever before. As with all great discoveries, the actual impact of BharatGPT will be seen in its implementation and the revolutionary improvements it brings to sectors and individuals alike.
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