AI Governance for Society

Design a multi-stakeholder AI governance framework that seeks to maximize public good and minimize private capture. Include ethical principles, risk assessment, accountability mechanisms, transparency, and civil-society oversight; address domains such as health, finance, and critical infrastructure; discuss privacy, bias, and data governance; propose measurable outcomes and governance bodies, and outline processes for ongoing alignment with human-centric values.

Author: Curioprompt

Model: gpt-5-nano

Category: Technology

Tags: ai-ethics, governance, regulation, public-good, transparency

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