People think AI regulation exists to ensure ethical artificial intelligence and prevent robot takeovers. In reality, AI regulation functions as a system for allocating the risks of automated decision-making between developers, deployers, users, and those affected by AI systems.

This episode reveals how emerging legal frameworks are grappling with machines that make decisions, and who bears the cost when those decisions go wrong.

In this episode, I explain:

• Why AI regulation allocates decision risk, not promotes ethics.
• How liability frameworks determine who pays when AI causes harm.
• Why explainability requirements allocate understanding rights to affected individuals.
• How bias prevention allocates discrimination risk between developers and society.
• Why human oversight requirements allocate control responsibility to operators.

KEY TAKEAWAYS:

• AI regulation allocates decision risk, not ensures ethical AI.
• Liability rules allocate who pays for AI-caused harm.
• Explainability requirements allocate understanding rights.
• Bias prevention allocates discrimination risk.
• Human oversight allocates control responsibility.

REFERENCED TODAY:

• EU AI Act (proposed regulation).
• UK AI Regulation Proposals (Department for Science, Innovation and Technology).
• Data Protection Act 2018 (automated decision-making provisions).
• Equality Act 2010 (discrimination framework).
• Product Liability Directive (potential AI amendments).

DISCLAIMER:
This podcast is for general information only. It does not provide legal advice and does not create a lawyer-client relationship.

Always consult a qualified professional for advice specific to your situation.

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