The Potential of AI in Discovering Galaxies

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This chapter explores the use of AI and machine learning in making discoveries about galaxies and how these technologies can avoid human presumptions and biases. It discusses the example of machine learning algorithms identifying unusual stars, sparking speculation about possible alien megastructures. The speakers also express skepticism about techno signatures and the feasibility of galactic civilizations.

It wasn't that long ago that topics like the nature of consciousness, or the foundations of quantum mechanics, or prospects for extraterrestrial life were considered fringey and disreputable by much of the scientific community. In all these cases, the tide of opinion is gradually changing. Life on other worlds, in particular, has seen a remarkable growth in interest -- how life could start on other worlds, how we can detect it in the solar system and on exoplanets, and even thoughts about advanced alien civilizations. I talk with astrophysicist Adam Frank about some of those thoughts. We also give the inside scoop on what professional scientists think about UFOs.

Blog post with transcript: https://www.preposterousuniverse.com/podcast/2023/12/11/259-adam-frank-on-what-aliens-might-be-like/

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Adam Frank received a Ph.D. in physics from the University of Washington. He is currently the Helen F. and Fred H. Gowen Professor in the Department of Physics and Astronomy and Distinguished Scientist at the Laboratory for Laser Energetics at the University of Rochester. Among his awards are the National Honors Society Best Book in Science award, and the Carl Sagan Medal from the American Astronomical Society. His new book is The Little Book of Aliens.

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