Three Things I Learned: Living with AI (Experts)

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Credit: Tanisha Bassan

There is strong evidence to show that subject-specific experts frequently fall short on their informed judgments. Particularly when it comes to forecasting.

In fact, in 2005 the University of Pennsylvania’s Professor Philip E. Tetlock devised a test for seasoned and respected commentators that found as their level of expertise rose, their confidence also rose – but not their accuracy. Repeatedly, Tetlock’s experts attached high probability to low frequency events in error, relying upon intuitive casual reasoning rather than probabilistic reasoning. Their assertions were often no more reliable than, to quote the experimenter, “a dart throwing chimp.”

I was reminded of Tetlock’s ensuing book and other similar experiments at the Future Trends Forum in Madrid last month; an event that (valiantly) attempts to convene a room full of thought leaders and task them with predicting our future. Specifically, in this case, our AI future.

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AI, Showbiz, and Cause for Concern (x2)

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A “Virtual” or “Digital” Human. Credit: Digital Domain

The #AIShowBiz Summit 3.0 – which took place last month –  sits apart from the often dizzying array of conferences vying for the attention of Bay Area tech natives. Omnipresent AI themes like “applications for deep learning”, “algorithmic fairness”, and “the future of work” are set aside in preference for rather more dazzling conversations on topics like “digital humans”, “AI and creativity”, and “our augmented intelligence digital future.”

It’s not that there’s anything wrong with the big reoccuring AI themes. On the contrary, they are front-and-center for very good reason. It’s that there’s something just a little beguiling about this raft of rather more spacey, futuristic conversations delivered by presenters who are unflinchingly “big picture”, while still preserving necessary practical and technical detail.

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