The UK’s proposed regulatory framework for AI identifies three broad categories of AI risks: Societal harms Misuse risks Autonomy risks It also sets out five cross-sectoral principles for regulators to interpret within their remits:
OTHER FRAMEWORKS The EU Artificial Intelligence Act (2024) is relatively light-touch, attempting to balance the prohibition of relatively high risk activities with not wishing to stifle innovation or prevent the implementation of AI with economic and societal benefits.
Key concerns listed in the legislation include:
AI systems that deploy harmful manipulative “subliminal techniques”. AI systems that exploit specific vulnerable groups. AI systems used by public authorities for social scoring purposes. Real-time remote biometric identification systems in public spaces (with some exceptions).
Safety, security and robustness. Appropriate transparency and explainability. Fairness. Accountability and governance. Contestability and redress.
AI AND ETHICS | PART ONE: FRAMEWORKS AND PRINCIPLES FOR AI
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