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.
- Highlight customer value and trust → incentivises safe, effective products
- Recognise cultural variations → encourage diversity, audit policies for inclusivity
- Define responsible AI as a discipline → reinforce its value
- Engage HR → work roles and success measures so practitioners are rewarded
- Set common AI terms and taxonomy → clarity, collaboration, fewer misunderstandings
- 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, practiced 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
Sources and study method
This independent lesson uses active recall, spaced retrieval and scenario practice. Read the full study method.