AI and Ethics: Navigating the Future of Responsible Technology
summary
Tracks the lineage from 420 lines of code Eliza that mirrors user text to modern systems trained on 2 billion pages, shows a real Google Duplex call that successfully books appointments, and notes Tay collapsing into hate speech in 16 hours. Flags Meta pulling from LibGen with 7.5 million books and OpenAI/Microsoft scraping news for training, cites a $1.2M AI-music scam and traumatized content moderators, warns of watermark removal and model collapse as concrete harms and tradeoffs.
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chapters (10)
- 0:00Introduction to AI ethics
- 2:49The Eliza effect explained
- 12:05Anthropomorphism in AI
- 18:48Ethical concerns with AI tools
- 22:38Deep fakes and their impact
- 32:23AI in creative industries
- 36:41How AI models really work
- 41:45Garbage in, garbage out in AI
- 48:58Ethical dilemmas in AI development
- 50:07The promise of responsible AI
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