Lecture 1: Introduction to Data Science, AI, and Law
Lecture 2: Ethical AI and Responsible Data Use
Lecture 3: Data Privacy and Protection Laws
Lecture 4: AI Bias and Discrimination Legal Implications
Lecture 5: AI Governance and Regulation
Lecture 6: Intellectual Property and AI Innovations
Lecture 7: AI in the Legal Industry, Applications and Ethics
Lecture 8: Accountability and Liability for AI Decisions
Lecture 9: AI Transparency, Explainability, and the Law
Lecture 10: Future Trends in AI and Law, Emerging Legal Challenges
This course examines the intersection of data science, AI, and law, focusing on responsible AI use. Topics include ethical AI, data privacy laws, AI bias, and discrimination, as well as governance and regulation. The course also covers intellectual property, AI in the legal industry, accountability, and the legal implications of AI decisions. It explores transparency, explainability, and emerging legal challenges in AI, preparing students for the evolving landscape of AI and law.