29 Epizód

  1. 9. AI and Bias: How AI Shapes What We Buy

    Közzétéve: 2025. 12. 15.

  2. 8. AI and Decentralisation: Own AI or Be Owned By It

    Közzétéve: 2025. 11. 30.

  3. 7. AI and Security: The Arms Race We're Losing

    Közzétéve: 2025. 11. 17.

  4. 6. AI and Enterprise Implementation: Building Bodies for Intelligent Brains

    Közzétéve: 2025. 11. 02.

  5. 5. AI and Transparency: Rethinking Assessment Through Authorship

    Közzétéve: 2025. 10. 20.

  6. 4. AI and Creativity: What Creative Machines Teach Us About Ourselves

    Közzétéve: 2025. 10. 05.

  7. 3. AI and Education: From Teaching Tools to Teaching Thinking

    Közzétéve: 2025. 08. 03.

  8. 2. AI and Practice: From Principles to Real-World Solutions

    Közzétéve: 2025. 07. 20.

  9. 1. AI and Students: What Universities Don't Know

    Közzétéve: 2025. 07. 06.

  10. 20. AI and Copyright: Navigating Creative Technology's Legal Challenges

    Közzétéve: 2025. 06. 21.

  11. 19. AI and Enterprise: Building Innovation Beyond the Hype

    Közzétéve: 2025. 06. 09.

  12. 18. AI and Learning: What HE Can Discover from FE Innovation

    Közzétéve: 2025. 05. 25.

  13. 17. AI and the Wrath of Khan't: From Technology Panics to Solar Punk Futures

    Közzétéve: 2025. 05. 11.

  14. 16. AI and Education: The Quiet Revolution in Learning Technology

    Közzétéve: 2025. 04. 27.

  15. 15. AI and Innovation: Bridging Startups and Education

    Közzétéve: 2025. 04. 14.

  16. 14. AI and Academic Integrity: Reimagining Education Through Innovation

    Közzétéve: 2025. 03. 31.

  17. 13. AI and Transformation: Industry Insights for Higher Education

    Közzétéve: 2025. 03. 17.

  18. 12. AI and Education: The Human-AI Partnership

    Közzétéve: 2025. 03. 02.

  19. 11. AI and Social Justice: Decolonising Digital Knowledge

    Közzétéve: 2025. 02. 17.

  20. 10. AI and Ethics in Practice: Corporate Perspectives

    Közzétéve: 2025. 02. 03.

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AI Ethics Now is a podcast dedicated to exploring the complex issues surrounding artificial intelligence from a non-specialist perspective, including bias, ethics, privacy, and accountability. Join us as we discuss the challenges and opportunities of AI and work towards a future where technology benefits society as a whole. This podcast was first developed by Dr Tom Ritchie and Dr Jennie Mills as part of The AI Revolution: Ethics, Technology, and Society module, taught as part of IATL at the University of Warwick.

Visit the podcast's native language site