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