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Intermediate · Safety

AI Governance

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TL;DR. The framework of policies, regulations, and principles designed to guide the development and deployment of AI technologies.

Technical Definition

The framework of policies, regulations, and principles designed to guide the development and deployment of AI technologies.

How it works

AI governance addresses the societal impact, ethical considerations, and risks associated with AI, ensuring its responsible use. It involves collaboration between governments, industry, academia, and civil society to establish standards and oversight. This field aims to maximize the benefits of AI while mitigating potential harms.

Related Concepts

  • Ethical AI — The study and practice of designing, developing, and deploying AI systems in a responsible and morally sound manner.
  • Algorithmic Justice — A framework addressing fairness, accountability, and transparency in algorithmic decision-making, especially concerning social and legal ramifications.
  • Responsible AI (RAI) — A holistic framework encompassing the ethical, legal, and societal implications of AI, promoting trustworthy and beneficial systems.