Rights
Protect people from discrimination, manipulation, unsafe systems and unjustified surveillance.
A global view of AI governance
AI systems are reshaping decisions, institutions and public life. This concise guide maps the questions that matter: who decides, who benefits, who is accountable and how rights are protected.
Explore the field01 / Overview
AI governance is the set of rules, institutions, practices and technical controls used to shape how AI is designed, deployed and overseen. It connects public values with decisions made in real systems.
Protect people from discrimination, manipulation, unsafe systems and unjustified surveillance.
Make roles, decisions and remedies clear across developers, deployers and public authorities.
Test systems, monitor impacts and respond when technologies, uses or risks change.
02 / The field
AI governance works across three connected layers.
Legislation, standards and public institutions define duties, limits and paths to redress.
Leadership, procurement, risk ownership and human oversight turn principles into operating decisions.
Documentation, evaluation, monitoring and incident response provide evidence throughout the AI lifecycle.
03 / Key questions
Purpose — What is this system for, and should AI be used here?
Impact — Who can be helped, harmed or excluded?
Evidence — What shows the system works in its real context?
Accountability — Who can stop it, challenge it and repair harm?
Change — How will risks be monitored as the system, data and environment evolve?
A practical starting point
Effective governance is not a one-time checklist. It connects law, organizational judgment and technical evidence—and it must evolve as systems and their effects change.