Regulatory AI Policy
The CISA, NSA, and FBI teamed with cybersecurity agencies from the UK, Australia, and New Zealand to make a best-practices policy for safe AI development. The principles laid down in this document offer a strong foundation for protecting AI data and securing the reliability and accuracy of AI-driven outcomes.
The advisory comes at a crucial point, as many businesses rush to integrate AI into their workplace, but this can be a risky situation also. Governments in the West have become cautious as they believe that China, Russia, and other actors will find means to abuse AI vulnerabilities in unexpected ways.
Addressing New Risks
The risks are increasing swiftly as critical infrastructure operators develop AI into operational tech that controls important parts of daily life, from scheduling meetings to paying bills to doing your taxes.
From foundational elements of AI to data consulting, the document outlines ways to protect your data at different stages of the AI life cycle such as planning, data collection, model development, installment and operations.
It requests people to use digital signature that verify modifications, secure infrastructure that prevents suspicious access and ongoing risk assessments that can track emerging threats.
Key Issues
The document addresses ways to prevent data quality issues, whether intentional or accidental, from compromising the reliability and safety of AI models.
Cryptographic hashes make sure that taw data is not changed once it is incorporated into a model, according to the document, and frequent curation can cancel out problems with data sets available on the web. The document also advises the use of anomaly detection algorithms that can eliminate “malicious or suspicious data points before training."
The joint guidance also highlights issues such as incorrect information, duplicate records and “data drift”, statistics bias, a natural limitation in the characteristics of the input data.
