The threat of AI comes from inside the house

My other SIAM News contributions are necessarily math-focused. This one is a bit different: a review of a very good and  funny popular-science book about machine learning and its failures.

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The Threat of AI Comes from Inside the House

For SIAM News:

Artificial intelligence (AI) will either destroy us or save us, depending on who you ask. Self-driving cars might soon be everywhere, if we can prevent them from running over pedestrians. Public cameras with automated face recognition technology will either avert crime or create inescapable police states. Some tech billionaires are even investing in projects that aim to determine if we are enslaved by computers in some type of Matrix-style simulation.

In reality, the truest dangers of AI arise from the people creating it. In her new book, You Look Like a Thing and I Love You, Janelle Shane describes how machine learning is often good at narrowly-defined tasks but usually fails for open-ended problems.

Shane—who holds degrees in physics and electrical engineering—observes that we expect computers to be better than humans in areas where the latter often fail. This seems unreasonable, considering that we are the ones teaching the machines how to do their jobs. Problems in AI often stem from these very human failings.

[Read the rest at SIAM News…]

Discovering new planets with artificial intelligence

[ This blog is dedicated to tracking my most recent publications. Subscribe to the feed to keep up with all the science stories I write! ]

Thanks to Google AI, Astronomers Have Found New Planets

They’re not habitable, but the dual discoveries change how we’re going to hunt for the next Earth.

For The Daily Beast:

For the first time, NASA has used machine learning to identify two new planets in distant star systems. One of those worlds is the eighth in its system, making that planetary system the largest-known yet discovered.

We know stars can have eight planets already (hello, Solar System!), so that’s no surprise. The excitement comes in how this new world was found: using an artificial intelligence machine learning method known as “neural networks.”

On Thursday afternoon, Christopher Shallue, a senior software engineer at Google Brain, and Andrew Vanderburg, an astrophysicist at the University of Texas at Austin, announced the new worlds in a press conference. It’s the eighth planet orbiting the 90th star in the Kepler observatory’s catalog, so it carries the name Kepler-90i. It’s a smallish, rocky planet orbiting very close to its host star. This method also identified a fifth planet in the Kepler-80 system, described in the same research paper.

[Read the rest at The Daily Beast]