Generative AI Ethics and Governance Fundamentals

As generative AI tools rapidly integrate into daily business workflows, understanding ethical boundaries and regulatory compliance is no longer optional. Organizations must balance innovation with accountability, privacy, and risk mitigation. This text-only course equips you with the foundational knowledge to identify ethical dilemmas, implement governance frameworks, and safely guide generative AI adoption. You will transition from a passive user to an informed professional who can advocate for responsible AI practices. What you'll learn: 1. Understand the core principles of AI ethics, including fairness, accountability, transparency, and data privacy. 2. Identify risks unique to generative models, such as bias amplification, hallucination, and intellectual property challenges. 3. Evaluate modern AI governance frameworks and emerging global regulatory standards. 4. Formulate practical corporate AI policies that align with compliance goals and organizational values. 5. Apply risk-mitigation strategies to ensure safe and responsible deployment of AI solutions. The course begins with essential terminology and the foundational philosophy of AI ethics before exploring real-world compliance scenarios, risk management strategies, and policy creation. You will read through detailed explanations and analyze practical case studies to build a solid governance toolkit. Designed entirely for beginners, this course requires no technical background or programming experience, making it ideal for managers, policy makers, and professionals entering the AI space. Start building your foundational understanding of responsible AI today.