AI governance engagement
The specific processes and policies for your AI governance system depend on whether your company is using third-party systems or developing AI in-house. Based on this factor, we have provided recommendations to help your company govern your AI engagements.
Engagement with AI systems developers
For first-party AI systems, if your organization also plans to develop AI solutions or integrate AI into your existing products and services, there are some tasks for each team role.
Your ethical governance system should:
- Review or provide advice before the release of any new AI system, especially for sensitive use cases.
- Ensure employees from all levels of the company feel free to surface ethical concerns before you sell AI or AI-integrated products and services.
- Analyze the case and provide guidance to mitigate the risks if concerns arise while designing, developing, or selling the AI system.
- Create processes to monitor the AI systems you deploy or sell to detect and mitigate model drift and decay over time.
Your developers should:
- Be given detailed and thorough standard guidance that can help them design and develop AI solutions to reflect your organization’s ethical principles.
- Have guidelines and checklists for specific AI technologies, such as face recognition or generative AI.
For organizations planning on using out-of-the-box third-party AI systems, we recommend learning about the third party’s commitment to responsible AI design to ensure it aligns with your own principles.
For custom AI solutions, include your principles or standards in your request for proposal. Before deploying any third-party AI solution, create guidelines on how to safely operate and monitor the system. Train employees on these guidelines and ensure they’re being followed. Finally, your governance system should ensure the AI system has been rigorously tested.
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