A framework of ethical principles and governance structures ensuring responsible development, deployment, and oversight of artificial intelligence systems in compliance with societal values. Addresses fairness, accountability, transparency, bias mitigation, privacy preservation, and alignment with human rights norms across the AI lifecycle from design through decommissioning.
Semantic Classification
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- A normative framework establishing standards for responsible Artificial Intelligence development, deployment, and oversight within Digital Systems. It encompasses mechanisms for bias mitigation, fairness assessment, transparency requirements, and accountability structures that align AI capabilities with Human Values and societal interests.