AI Governance Handbook A Practical Guide for Enterprise AI Adoption (Sunil Gregory, Anindya Sircar) (Z-Library)

AI has moved from experimental applications to core business functions. For enterprises, this rapid transition has created an urgent need to address the risks and responsibilities associated with AI. Unchecked, AI can present numerous hazards: algorithms may reflect and amplify human biases, data security breaches can compromise sensitive information, and opaque decision-making processes can undermine stakeholder trust. If unmanaged, these risks harm individuals and society and erode the value and competitive advantage that AI offers. AI governance addresses these challenges by establishing accountability structures, data and model management policies, and regulatory compliance measures. AI Governance Handbook: A Practical Guide for Enterprise AI Adoption has been crafted to serve as a comprehensive guide for managing these challenges. It offers a structured approach for enterprises aligning their AI efforts with strategic goals while ensuring fairness, transparency, accountability, privacy, and compliance with evolving legal standards. The governance approach outlined in this handbook advocates for a proactive stance, emphasizing the need to foresee potential issues and embed responsible practices into the organization’s AI lifecycle from the outset. Through this lens, AI governance is not merely a set of controls but a value-driven approach to sustaining trust, minimizing risks, and maximizing the benefits of AI.