AI governance frameworks are structured sets of guidelines, policies, and procedures designed to ensure that artificial intelligence systems are developed, deployed, and used in a manner consistent with legal, ethical, and societal norms.
Addressing concerns around ethical use, misuse, and unintended consequences of AI technologies by providing a systematic approach to their regulation and governance.
These frameworks typically involve the establishment of clear standards for AI development, including data privacy, transparency, accountability, and bias mitigation. They also provide mechanisms for oversight and enforcement, often involving collaboration between governments, industry stakeholders, and civil society organizations.
Not directly involved in the physical manufacturing of AI systems but plays a crucial role in setting standards for data collection, algorithm development, and deployment processes.
Involve interdisciplinary teams including legal experts, ethicists, technologists, and policymakers. The process includes defining ethical principles, identifying potential risks, and creating actionable guidelines and policies.
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