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  • 00:14: Intro

  • 01:30: Define ethics in AI, address biases.

  • 02:53: Explore ethical considerations in AI.

  • 04:01: Historical perspective on AI, lessons learned.

  • 05:10: Current ethical issues in AI.

  • 06:55: Impact of bias on AI decision-making.

  • 08:23: Ethics in data privacy, transparency, accountability.

  • 10:11: AI's impact on jobs, mitigation strategies.

  • 11:28: Industry-specific ethical challenges.

  • 12:30: Encouraging fairness and transparency in AI design.

  • 13:48: Healthcare ethics, patient privacy.

  • 15:11: Designing interfaces for transparency and accountability.

  • 16:23: Continuous learning and improvement in AI.

  • 18:03: Collaborative governance in AI development.

  • 19:28: Share thoughts on social media.

  • End: Closing gratitude

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22 episodes