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AI ethics in practice – principled policy falls short under pressure

Artificial intelligence governance is often described in terms of principles. Fairness, accountability, transparency, and safety have become the dominant language through which organizations signal responsible deployment. These principles appear in policy frameworks, regulatory proposals, and corporate commitments across jurisdictions. Yet the operational reality of AI deployment reveals a persistent and widening gap between declared ethics and executed decisions. The central issue is not the absence of ethical frameworks, but the conditions under which those frameworks are overridden in practice. The European Union’s AI Act establishes one of the most comprehensive regulatory attempts to formalize ethical AI obligations, introducing requirements around…

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