Keynote Q&A – Toby Walsh
summary
Covers concrete incidents and technical choices: the Tesla autopilot fatality discussion and legal accountability, the claim that humans cannot reliably retake control at level‑3 automation, a specific Chinese crash and a proposed airline‑style accident investigation model, Facebook using AI to scale moderation, technical tradeoffs in fairness and likely impossibility results when removing multiple biases, the Singapore autonomous taxi using fuzzy logic top‑level design versus deep learning, and wider worry about black‑box deep learning problems and who shares learned data.
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chapters (11)
- 0:00AI rights and Turing test
- 2:51Turning off AI and machine consciousness
- 6:43AI shaping social media and echo chambers
- 10:17Autonomous driving accident accountability
- 17:27Bias in machine learning data
- 23:27Human-AI collaboration in vehicles
- 27:20Ethical frameworks for autonomous cars
- 30:56Rapid AI learning and societal impact
- 32:26Black box AI interpretability
- 35:54Corporate AI responsibility and alignment
- 40:26Regulating tech giants
