AI Reading List: Related
Below is a portion of my informal list of readings related to Artificial Intelligence (AI). This started out as a very short list created for use in conjunction with an academic presentation and has now grown much larger. Please let me know if you have any corrections, additions, suggestions, etc. It is very idiosyncratic and not meant to be comprehensive. Please feel free to share with others.
Artificial Intelligence (AI) Reading List, by Philip Rubin
Related:
Ernest Davis. What has surprised me in computer technology. Ernest Davis NYU webpage, June 14, 2022.
Kai-Fu Lee and Chen Qiufan. AI 2041: Ten Visions for Our Future, Currency: 2021.
Will Douglas Heaven. Artificial Intelligence: “We’ll never have true AI without first understanding the brain.” Neuroscientist and tech entrepreneur Jeff Hawkins claims he’s figured out how intelligence works—and he wants every AI lab in the world to know about it. MIT Technology Review, March 3, 2021
Ruha Benjamin. Race After Technology: Abolitionist Tools for the New Jim Code. Polity: 2019
John Brockman (ed.). Possible Minds: Twenty-Five Ways of Looking at AI. Penguin Press: 2019
Jaron Lanier. Ten Arguments for Deleting Your Social Media Accounts Right Now. Picador: 2019
Michael Segal and Andy Clark. A more human approach to artificial intelligence. Nature Outlook, Aug. 16, 2019
Kai-Fu Lee. AI Superpowers: China, Silicon Valley, and the New World Order. Mariner Books: 2018.
Safiya Umoja Noble. Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press: 2018
Judea Pearl and Dana Mackenzie. The Book of Why: The New Science of Cause and Effect. Basic Books: 2018
Max Tegmark. Life 3.0: Being Human in the Age of Artificial Intelligence. Knopf, Penguin Random House: 2018
Imon Banerjee et. al. Reading Race: AI Recognizes Patient’s Racial Identity in Medical Images. 2017
Cathy O'Neil. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown: 2017
Nick Bostrom. Superintelligence: Paths, Dangers, Strategies. Oxford University Press: 2014
Wendell Wallach and Colin Allen. Moral Machines: Teaching Robots Right from Wrong. Oxford University Press: 2009
Byron Reeves and Clifford Nass. The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places. Cambridge University Press: 1996; New Edition, The University of Chicago Press: 2003.