AI Governance Strategies for Middle-Market Leaders

This guide outlines the challenges and strategies for middle-market leaders in adopting artificial intelligence (AI) while managing associated risks. It emphasizes the necessity for effective AI governance and business strategies to mitigate economic, regulatory, and reputational risks. The document details key AI risks, including lack of awareness of AI usage, hallucinations in generative AI outputs, sensitive data leaks, bias and discrimination, third-party risks, regulatory uncertainty, and potential litigation. It presents a five-step approach to AI governance tailored to the unique needs of middle-market organizations. These steps include conducting an 'AI Census' to assess AI usage, adopting industry-standard controls, running application security testing, updating third-party risk management processes, and implementing a business-specific AI acceptable use policy. The guide stresses the importance of understanding AI's role in driving operational efficiencies and innovation while ensuring that organizations remain compliant and secure.