Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment. The insights within this book are applicable to a broad audience, including business leaders, executives, consultants, scholars, and policymakers. Cases on AI Ethics in Business serves as a premier reference source. It covers foundational ethical principles, strategies for mitigating bias and ensuring privacy, and effective measurement of AI ethics strategies. By presenting a holistic view of AI ethics, this book empowers organizations to embrace AI innovation responsibly, fostering trust and ethical practice in the digital age.