Regulatory frameworks, compliance duties, and legal operating constraints
View All TagsArtificial intelligence leadership is often misunderstood as the ability to select the best model, approve an AI strategy or sponsor a portfolio of proofs of concept. Those activities matter, but they are not the essence of leadership.
AI leadership is the disciplined conversion of uncertain technological capability into measurable, secure, governed and socially acceptable outcomes.
Updated: July 27, 2026
This guide explains the entire Artificial Intelligence Governance Professional certification syllabus in practical, exam-focused and operational detail.
It follows the IAPP AIGP Body of Knowledge version 2.1, which became effective for examinations taken on or after 2 February 2026. The Body of Knowledge is reviewed periodically and identifies the knowledge, skills, competencies and performance indicators that may be assessed in the examination.
This is an explanatory study resource rather than an official IAPP course or legal opinion.
This is the Governance article for applying the EU AI Act on live work. Use it as a working playbook: define the system, map roles, screen prohibitions, classify risk, build the control and evidence pack, then calendar the dates that bind you.