[KI]Governance

AI governance covers three key dimensions: Privacy (handle data responsibly, explain what's collected, and minimize what leaves the browser), Fairness (check models for discriminatory behavior/bias, and build loops that let users flag issues), and Trust and transparency (design the system for transparency and calibrated trust so users continue benefiting despite uncertainty and potential mistakes). Security is also an important dimension of AI governance.

Governance involves steering responsible development, deployment, and use of AI technologies throughout their lifecycle, by creating and implementing a range of tools such as voluntary guidelines, policies, regulations, and laws, amongst others.

Governance involves steering the development, deployment, and use of AI technologies throughout their lifecycle, in an organisation or jurisdiction by creating and implementing a range of tools such as voluntary guidelines, policies, rules, and regulations, amongst others.