Step 2

Lead the way in responsible AI adoption

Implement practical frameworks for responsible AI adoption and governance across your organisation

AI may promise compelling business advantages, but it also opens the door to cyber threats

Governance is a critical component of ensuring AI can be developed and used securely, responsibly and ethically while supporting business goals and maintaining compliance. However, the immaturity of AI - and in some cases the lack of clear requirements or use case - has left many organisations wondering just where the responsibility for where that governance should lie.

Working in collaboration with our Members, the ISF approach offers clarity on AI responsibilities within your organisation, using clear metrics and frameworks to help you build a cross-functional approach that transcends your entire organisation.

Your framework for AI security governance

We have laid out a sample selection of potential AI governance activities against a RASCI (responsible, accountable, supportive, consulted, and informed) framework to help you share responsibilities across impacted teams.

Potential components

Apply our example RASCI matrix to your own business circumstances by starting small and incorporating the most crucial elements as you see them, such as your overall strategy, governance framework, policies and procedures and compliance elements.

Download the AI security governance RASCI matrix

Your framework for AI ethics and transparency

Just like AI security governance, the management of AI ethics and transparency should not fall into the remit of any one person or group.

Our RASCI matrix for AI ethics and transparency helps you build a cross-functional effort that encompasses all or most departments across your business.

Download the AI ethics and transparency RASCI matrix