You Look Like a Thing and I Love You
Janelle Shane holds a PhD in electrical engineering as well as a master's degree in physics. She blogs about artificial intelligence and the hilarious and sometimes unsettling ways that algorithms get human things wrong at aiweirdness.com. She has appeared on the TED main stage, as well as in the New York Times, The Atlantic, WIRED, PopularScience, All Things Considered, Science Friday, Marketplace, and other publications. She has been named a Fast Company 100 Most Creative Person in Business and an Adweek Young Influential.
You look like a thing, and I love you, according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness, is one of the best pickup lines ever. She creates amusing AIs that learn how to name paint colors, cook the best recipes, and even flirt (badly) with humans—all in the name of better understanding the technology that governs so much of our daily lives.
Every day, we rely on AI for recommendations, translations, and adding cat ears to our selfie videos. We also trust AI with life and death decisions on the road and in our hospitals. But just how intelligent is AI, and how does it solve problems, understand humans, and even drive self-driving cars?
Shane provides answers to every AI question you've ever asked, as well as some you haven't. For example, how can a computer create the ideal sandwich? What does Harry Potter fan fiction generated by a robot look like? Is "Vampire Hog Bride" really the best Halloween costume in the world?
Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity—in this smart, often hilarious introduction to the most fascinating science of our time.
You Look Like a Thing and I Love You is an excellent book for anyone interested in what the robots in our lives are thinking.
Author: Janelle Shane
Link to buy: https://www.amazon.com/gp/aw/d/0316525243/
Ratings: 4.6 out of 5 stars (from 627 reviews)
Best Sellers Rank: #132,916 in Books
#36 in Science & Scientists Humor
#127 in Social Aspects of Technology
#173 in Artificial Intelligence & Semantics
