AI
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How are your peers using AI to enhance their risk management? And what policies and governance are they putting in place for AI?
We're facilitating a series of virtual meetings, 1-to-1 calls and roundtables to help risk leaders in our network collaborate with peers who have practical experience of their specific priority including:
- How to incorporate AI into KRIs
- AI policies
- AI governance across the supply chain
- Using AI for internal audit
- Using AI for horizon scanning
- Enhancing risk management through AI
- Use cases for AI
More details about each collaboration ↓
Fill in the form to select a topic and request to get involved with our upcoming collaborations. We'll send you a 15-minute meeting invite to discuss the next steps.
Please note, we're only able to discuss or involve you in collaborations as a prospective member (in-house risk leaders at large multinational non-financial corporations).
Fill in this form to begin collaborating on AI
Collaborations we're facilitating right now:
How to incorporate AI into KRIs
What methods are risk leaders taking to use AI for KRIs and predictive work?
AI policies
Risk leaders are exchanging approaches to effective AI policy which ensures sufficient controls and assurance, without stifling innovation.
AI governance across the supply chain
How is AI governance being considered and established across organisations, including with suppliers?
Using AI for internal audit
How are risk leaders using AI for internal audit and what's the best way to implement the technology?
Using AI for horizon scanning
What approaches are risk leaders taking to use AI for horizon scanning in order to save time and spot relevant vulnerabilities to the business?
Enhancing risk management through AI
Risk leaders are collaborating on the different AI tools they can use to enhance ERM, including chatbots, LLMs and other applications for risk data and trend analysis.
Use cases for AI
Risk leaders are sharing real life examples of how their organisations are using AI to enhance business performance, and incorporating a risk lens into decisions around where and when to deploy AI.