AI Governance and Digital Transformation: Direction, Accountability and Value
Domain 3 - AI Governance and Digital Transformation. The exam tests whether you can separate governance from management, apply ISO/IEC 38507 and ISO/IEC 42001, and connect AI use to measurable transformation rather than tool adoption.
Core rules
Governance is the governing body’s direction, accountability and oversight; management executes within that framework. ISO/IEC 38507 addresses governance implications of AI; ISO/IEC 42001 specifies an AI management system with clauses on context, leadership, planning, support, operation, performance evaluation and improvement, plus Annex A controls for policy, roles, impact assessment, lifecycle, data, third parties and transparency. Digital transformation changes processes, skills and business models; AI is an enabler, not the outcome. Define prohibited uses, decision rights and escalation paths.
Worked example
A board considers a generative AI assistant for staff. Governance reasoning: approve an AI policy and risk appetite first; designate an accountable executive; require an impact assessment and data-protection review; define prohibited uses such as entering client secrets; set reporting to the board; approve a pilot with exit criteria and human oversight. This sequences direction and accountability before procurement, which is what exam scenarios reward.
Traps
Reducing governance to document templates; assigning accountability to IT alone; approving tools without an operating model; ignoring shadow AI; measuring adoption instead of outcomes; copying a policy without roles and escalation.