When is AI taking over _my_ job?
summary
Machines already replace narrow tasks: speech-to-text surpasses human parity and machine translation matches or beats humans; recommendation engines steer purchases; self-checkout, drive-through voice systems and pilot deployments of self-driving fleets threaten millions of driving jobs (drivers ~30 million US). Studies claim 85–94% clerical roles automatable. Tools shown include Azure Advisor-style index recommendations, DeepCoder-like code generators and HTML-from-wireframe systems. Progress is exponential, bias appears in COMPAS and ad-targeting, and deployed systems produce real legal and social harms unless ethics and testing are specific.
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chapters (22)
- 0:00Introduction and welcome
- 1:29What AI is not about
- 2:11Defining intelligence and AI
- 3:55How humans and machines learn
- 5:41Superhuman artificial general intelligence
- 6:06Narrow AI in practice today
- 8:16AI replacing jobs now
- 9:42Jobs most at risk
- 11:10AI in software development
- 13:18AI progress and exponential growth
- 15:27Why machines will replace humans
- 16:09Jobs that will last
- 16:51Why resisting AI is a bad idea
- 18:59Long-term risks of not advancing AI
- 20:04AI goals vs human harm
- 21:06Bias in artificial intelligence
- 22:36Real-world AI bias examples
- 24:44Ethical AI and responsibility
- 25:49Q&A: Moral machines and quantum computing
- 28:38Q&A: Self-driving car ethics
- 30:46Q&A: Legal and liability issues
- 31:08Final thoughts and call to action
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