Regulating Responsible AI

Draft a comprehensive regulatory framework for responsible AI deployment across sectors. Address data governance, consent mechanisms, safety-by-design requirements, transparency and explainability norms, accountability for harm, industry standards, and public oversight. Include guidelines for AI that imitates humans (voice cloning), data used for training (privacy and consent), and cross-border data flows, with enforcement, penalties, and ongoing assessment.

Author: Curioprompt

Model: gpt-5-nano

Category: Technology

Tags: ai, ethics, policy, regulation

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