Myths and Misconceptions Surrounding Artificial Intelligence

Spencer Doar

Spencer Doar

Associate Editor

“We can only see a short distance ahead, but we can see plenty there that needs to be done.” -Alan Turing in 1950’s seminal “Computing Machinery and Intelligence”

While it feels like only recently that company after company, in industry after industry, has started deploying some variety of “machine learning” or “deep learning” or “artificial intelligence” in their marketing materials and new initiatives, technologists and academics have been talking about the field for decades.

But with this recent proliferation of use cases comes the unavoidable confusion over what the terms actually mean in practice. Is there a black box with a bunch of wires coming out of it? Is the answer to everything 42? JLN spoke with Inderdeep Singh of CME Group, Brian Peterson of DV Trading, Matt Dixon of IIT and Morgan Slade of CloudQuant about the subject to get some clarity on the nebulous terms.

Recent news about A.I. in finance:

-Mar 21, Finextra: BNP Paribas leads $30 million round in AI firm Digital Reasoning

-Mar 14, Financial Times: Spurious correlations are kryptonite of Wall St’s AI rush

-Mar 7, TechCrunch – S&P Global snares Kensho for $550 million

-Feb 19, Financial Times: BlackRock bulks up research into artificial intelligence

Shot and edited by Mike Forrester

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