The EU AI Act's principles are based on four types of risk factors, with different levels of transparency, rules, obligations, and monitoring for providers and users depending on the potential adversarial effects of the system. Minimal-risk systems are allowed free usage, limited-risk systems require providers to inform users of interaction with a ML system, high-risk systems are subject to the highest level of obligations and monitoring, and unacceptable-risk systems will be prohibited. The Act also proposes stricter assessment, regulation, and monitoring procedures for high-risk systems, including registration in the EU Database and disclosure of content generation by a model.
Key takeaways:
- The EU has started negotiations for the implementation of a regulatory structure for machine learning applications, with an agreement expected by the end of 2023.
- The EU AI Act takes a risk-based approach, categorizing systems into minimal-risk, limited-risk, high-risk, and unacceptable-risk, with varying levels of transparency, rules, obligations, and monitoring for each category.
- High-risk and unacceptable-risk systems are of particular concern, with the latter involving the exploitation of sensitive data or manipulation of cognitive and behavioural actions. High-risk systems, often involving large uninterpretable deep networks, will be subject to stricter regulation and monitoring.
- The EU AI Act is distinct from the EU Data Act, which focuses on broader goals for the EU's data economy and data sovereignty.