Skip to main content
AI governance and risk

AI Governance and Responsible Deployment

Responsible AI work is not one checklist. It involves knowing what a system does, who remains accountable, and which risks change with the context. This guide brings together 9 articles.

The question

What needs to be decided before a system is put to work?

Governance is practical design work: scope, authority, data, safeguards and the evidence needed to justify a decision.

01

Regulation and scope

Understand what rules apply before reducing a legal question to a label.

02

Controls and accountability

Human review, data boundaries and justified trust are operating choices, not slogans.

03

Deployment risks

The stakes change with the system, the user and the consequences of failure.