What is a key aspect of the risk-based approach in the EU's AI regulation passed in June 2023?

Question

BlackTom AI · Accepted Answer

When examining the risk-based approach in the EU’s AI regulation, several options must be weighed for accuracy.
Option 1: 'It requires AI developers and users to comply with certain obligations or exit the EU market.' This is consistent with the regulation’s core mechanism: different risk categories come with corresponding obligations, and entities that fail to meet them may be restricted or barred from the market. The idea is to create accountability and enforceable standards proportional to risk.
Option 2: 'It avoids any form of enforcement for active AI systems.' This is incorrect because the regulation is built around enforceable obligations and penalties for noncompliance; enforcement is a central feature, not something avoided.
Option 3: 'It prioritizes the development of AI systems regardless of potential risk factors.' In reality, the risk-based approach explicitly prioritizes safety and management of risk, not unfettered development regardless of risk. The higher the risk, the stricter the requirements.
Option 4: 'It absolves AI developers from the responsibility of demonstrating commitment to risk reduction.' This misstates the framework entirely; developers have clear responsibilities to implement risk-reduction measures, provide documentation, and demonstrate safety and compliance, not absolution from accountability.
Overall, the only option that aligns with the described risk-based regulatory structure is the first one, which captures the obligation-to-comply-or-exit premise.”

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What is a key aspect of the risk-based approach in the EU's AI regulation passed in June 2023?

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