Artificial intelligence is rapidly transforming public services, markets, and decision-making systems. Yet organizations often lack practical tools to evaluate the societal, ethical, and regulatory impacts of AI before it is deployed or procured.This book introduces a structured, principle-based approach to AI impact assessment that helps organizations make better decisions throughout the lifecycle of AI systems. Drawing on years of applied research and international collaboration, it presents a practical framework for evaluating AI projects across key dimensions such as safety, fairness, transparency, accountability, privacy, and regulatory compliance.The book bridges the gap between AI governance principles and real-world implementation. It translates complex policy requirements and ethical guidelines into clear assessment criteria that support decision-making in both public and private sector contexts. Through practical examples and structured methodologies, readers learn how to identify risks early, compare AI solutions, and ensure alignment with organizational objectives and policy environments.By enabling systematic and evidence-based evaluation of AI systems before implementation, the book provides a roadmap for responsible, transparent, and trustworthy AI adoption.
