Starting down the AI Governance path can be daunting, but taking the first steps are critical for any organization. Get started with these five foundational items that will set you up for success as you integrate AI across your organization.
1. Set up an AI Committee
The cornerstone of AI Governance is establishing an AI Committee. This diverse group should include leaders from various domains—executive management, legal, compliance, data analytics, and ethics. A clear mission and responsibilities are critical to their success. At a minimum make sure the committee is empowered to align AI initiatives with business objectives, manage risks, ensure compliance, and promote ethical AI practices. Their role is comprehensive, overseeing the strategic application of AI in line with your organization’s values and goals. For more detail on AI Committee best practices see this article on AI Governance Board: Roles & Responsibilities.
2. Issue a Sensible AI Policy
A well-crafted AI policy is your roadmap for ethical and compliant AI usage. It should encompass guidelines on ethical AI use, data privacy, and adherence to industry standards. Distribute this policy to all employees and third-party partners involved in AI projects, ensuring they acknowledge and commit to these principles. You can utilize an AI Policy template like this one to get started: AI Policy Template.
3. Inventory AI Projects
Knowledge is power. Maintain a thorough inventory of all ongoing AI projects. This includes monitoring their progress, risk levels, incidents, involved stakeholders and alignment with your strategic AI objectives. This step is vital for maintaining transparency and for a comprehensive understanding of AI's role in your organization.
4. Establish AI Project Approval Criteria
Every AI project must meet specific standards. Develop clear criteria for evaluating and approving AI projects. This should include risk management thresholds, ethical considerations, and strategic alignment. The AI Committee should play a key role in this process, ensuring a balanced and comprehensive approach to project approvals.
5. Manage AI Governance in a Centralized System
Centralizing your AI Governance and Compliance efforts in a single system fosters simplicity and transparency. This system should enable easy monitoring of AI initiatives, compliance tracking, and policy management. A centralized governance model ensures consistent practices across all AI projects and streamlines reporting and oversight.
Adopting these five measures will solidify your organization's approach to AI Governance. It's not just about adhering to regulations; it's about cultivating an environment where AI is used ethically, responsibly, and in alignment with your organization's core values and objectives.