What approach is primarily used in AI regulation according to the discussed frameworks?

The risk-based approach is emphasized in AI regulation frameworks because it aligns regulatory measures with the potential risks associated with AI technologies. This approach recognizes that not all AI systems pose the same level of risk, allowing regulators to prioritize oversight and safety measures based on the severity of the consequences that could arise from various AI applications.

By evaluating the risks tied to specific AI uses, regulators can implement tailored risk mitigation strategies, ensuring that higher-risk systems undergo more stringent scrutiny and compliance checks. This promotes innovation while also ensuring that adequate safeguards are in place to protect consumers, privacy, and public safety.

Consequently, the risk-based approach enables a more flexible and effective regulatory framework that can adapt to the varying levels of threat posed by different AI technologies, fostering responsible development and deployment without stifling innovation in the sector.