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Welcome to my workshop series "Empowering Faculty with AI for Scholarship and Teaching," where we will explore the transformative potential of AI—specifically Generative AI (GenAI)—for both research and teaching. In this final session, "Ethical Considerations in the Use of AI," we shift our focus from capability to responsibility. This workshop introduces key ethical principles drawn from the UNESCO Recommendation on the Ethics of Artificial Intelligence, including Privacy and Data Protection, Responsibility and Accountability, Transparency and Explainability, and Fairness and Non-Discrimination. We also explore how leading AI companies like OpenAI and Anthropic approach safety through data curation, red-teaming, alignment, guardrails, and transparency. Whether you're a technologist, educator, or policy-influencer, this session will help you think critically about AI's impact — and your role in shaping its future. Ethics isn't a roadblock to innovation; it's the foundation for building AI that serves humanity. 00:00 Introduction 03:03 UNESCO Recommendation on Ethics of AI 04:46 Privacy and Data Protection 09:37 Responsibility and Accountability 12:00 Transparency and Explainability 17:20 Fairness and Non-Discrimination 20:40 Overview of Safety Framework 20:58 Data Curation & Preprocessing 22:53 Evaluation & Red-Teaming 24:53 Alignment 39:56 Guardrails & Moderation Systems 43:08 Transparency and Documentation 44:10 Jailbreaking ChatGPT 47:09 Conclusion This video belongs to a playlist "Empowering Faculty with AI for Scholarship and Teaching": • Empowering Faculty with AI for Scholarship... Feel free to leave a comment if you have any questions. As always, thanks for watching, and happy learning!