Strengthen international data governance and govern AI for humanity.
AI governance refers to the policies, standards, and processes ensuring AI systems are developed and used safely, ethically, and responsibly, addressing risks like bias, privacy, and misuse while fostering innovation by setting rules for transparency, fairness, and accountability across the AI lifecycle, involving developers, users, and policymakers. Key frameworks include the EU AI Act and ISO standards , focusing on risk-based approaches, continuous assessment, and human oversight to align AI with human values and regulations. Core Principles Fairness & Bias Mitigation : Preventing discrimination and ensuring equitable outcomes. Transparency & Explainability : Understanding how AI makes decisions. Accountability : Assigning responsibility for AI outcomes. Privacy & Security : Protecting data and systems. Human Oversight : Maintaining human control over critical AI functions. Key Components Risk Management : Identifying, assessing, and mitigating potential ...