What are the different regulatory approaches to AI?
There are several regulatory approaches to AI, including risk-based regulation, sector-specific regulations, and self-regulation.
Can you explain what risk-based regulation means?
Risk-based regulation focuses on assessing the potential risks associated with AI technologies and tailoring regulations accordingly.
What are some examples of sector-specific regulations?
Examples include regulations in healthcare, finance, and transportation, where AI applications are subject to specific compliance requirements.
How does self-regulation work in the context of AI?
Self-regulation involves companies creating their own guidelines and standards for AI use, often in collaboration with industry groups.
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