Interview
summary
Claims that autonomous vehicle tech reaches 98% complete for capability, with the last 2% hard to solve; uses deep learning as the mechanism to handle rare, human‑like reactions on roads. Warns about public overtrust—machines will still make occasional human‑like mistakes—and highlights concrete cross‑industry disagreements surfaced on an AV panel (OEMs, regulators, private practice) rather than generic optimism.
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chapters (5)
- 0:00Start
- 0:12DATA BY THE BAY by the Bay data.bythebay.io scale.bythebay.io Data and Scale By the Bay November 2017
- 1:00What aspects of Al do you think work already?
- 1:40What is your key focus in Data, Machine Learning and Al?
- 2:37What do you like about the Al By the Bay Conference?
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