This course path introduces core concepts in AI ethics for learners who want to understand how artificial intelligence affects people, organizations, and society. You will examine ideas such as moral responsibility, autonomy, fairness, and accountability through real-world AI applications in areas like healthcare, finance, education, employment, transportation, and social media. The path covers practical challenges that arise across the AI lifecycle, including data privacy, biased outcomes, explainability, and unintended harms. You will learn how governance structures, legal frameworks, ethics boards, and transparency practices can support more responsible AI development and deployment. You will also consider emerging issues such as generative models, deepfakes, autonomous weapons, and the role of cultural context in shaping ethical norms. By the end, you will be prepared to apply ethical frameworks, auditing protocols, and stakeholder engagement practices to AI initiatives.
