AIGP Study Guide
Module 3: Governance & Risk Management · BoK I.A

Culture and operationalising responsible AI

Six culture moves (customer value, cultural variation, responsible AI as a discipline, HR engagement, common taxonomy, knowledge resources), then the operational checklist that embeds trustworthy AI in the operating model via a risk management framework.

Six culture moves, then the operational checklist that makes trustworthy AI real.

  1. Highlight customer value and trust → incentivises safe, effective products
  2. Recognise cultural variations → encourage diversity, audit policies for inclusivity
  3. Define responsible AI as a discipline → reinforce its value
  4. Engage HR → work roles and success measures so practitioners are rewarded
  5. Set common AI terms and taxonomy → clarity, collaboration, fewer misunderstandings
  6. Provide knowledge resources and training → continuously promote ethical behaviour
  • Identify where AI is used and its role → minor or critical function
  • Clear, shared technical standards
  • Develop AI runbooks and playbooks to guide implementation
  • Spell out acceptable and unacceptable practices
  • Update internal legal structures for new AI roles and responsibilities
  • Embed trustworthy AI in the operating model, practised through responsible AI processes
  • Operationalised with a risk management framework → addresses privacy and ensures accountability
  • Confirm the AI withstands growth → more users, scale, data or use
  • Safe, secure, integrity assured · transparent and explainable · fairness and nondiscrimination · human oversight and human values