The mortgage lending sector is experiencing a significant revolution driven by advanced technologies like artificial intelligence (AI) and machine learning. These cutting-edge technologies hold immense potential to revolutionize the lending process. 

However, alongside the benefits, there are also valid concerns surrounding the potential implications for human employment and the need to mitigate bias and discrimination in AI-driven decision-making. 

In an interview with the BBC, Margrethe Vestager, who is the European Commission's executive vice president, emphasized the importance of implementing "guardrails" to address the significant risks associated with technology, particularly in the context of artificial intelligence (AI). 

She highlighted the need for such precautions, especially when AI is involved in decision-making processes that directly impact individuals' livelihoods, such as determining their eligibility for a mortgage. 

1. Better customer experience: AI enables personalized customer experiences, allowing mortgage advisors to understand customer needs better and enhance their overall experience. 

2. Automation of routine tasks: AI automates repetitive tasks like data entry and document processing, freeing up time for mortgage advisors to focus on more strategic activities. 

3. Predictive analytics: AI analyzes data from multiple sources to provide insights into market trends and customer behavior, empowering mortgage advisors to make informed decisions and anticipate market changes. 

4. Boost risk assessment: AI algorithms analyze vast amounts of data, helping mortgage companies make better risk assessments and underwriting decisions, reducing loan defaults, and improving efficiency. 

5. Process optimization: AI identifies areas for process improvement by analyzing past transactions, enabling mortgage companies to streamline processes, reduce costs, and increase efficiency. 

6. Fraud identification: AI uses machine learning to detect potential fraud in mortgage applications, safeguarding both mortgage advisors and customers and ensuring the integrity of the lending process. 

7. Document management: AI automates document management, simplifying storage, retrieval, and management of customer information and loan documents, minimizing errors, and improving efficiency. 

8. Overcoming sales obstacles: AI tools like ChatGPT can assist in generating content ideas, helping mortgage professionals overcome content blocks, and leveraging video and social media for effective sales strategies. 

Recently,  Margrethe Vestager, said that implementing "guardrails" is crucial to mitigate the significant risks associated with technology. Specifically, she emphasized the importance of having these measures in place when AI is employed to make decisions that directly impact individuals' livelihoods, such as determining their eligibility for a mortgage. 

Although the risk of extinction due to artificial intelligence (AI) is minimal, there are other pressing concerns to address. Discrimination is a prominent issue, where individuals might not receive fair treatment based on their true identities. 

Margrethe Vestager emphasized the need to prevent bias related to gender, race, or location when AI systems are employed by banks for mortgage assessments or by social services in local communities. It is essential to prioritize fairness and equal treatment to ensure everyone is respected and valued.