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2 of 2 copies available
2 of 2 copies available

“Witty [and] provocative” essays on how AI might change us by the New York Times–bestselling author of Why Be Happy When You Can Be Normal? (Kirkus Reviews).
When we create non-biological life-forms, will we do so in our image? Or will we accept the once-in-a-species opportunity to remake ourselves in their image? What do love, caring, sex, and attachment look like when humans form connections with non-human helpers, teachers, sex-workers, and companions? And what will happen to our deep-rooted assumptions about gender? Will the physical body that is our home soon be enhanced by biological and neural implants, keeping us fitter, younger, and connected? Is it time to join Elon Musk and leave Planet Earth?
In twelve eye-opening, mind-expanding, funny, and provocative essays on the implications of artificial intelligence that look to history, religion, myth, literature, politics, and computer science to help us understand, Jeanette Winterson tackles AI’s most fascinating talking points, from the algorithms that data-dossier your whole life to the weirdness of backing up your brain.
“Thought-provoking and necessary—and sometimes very funny.” —The Guardian
“Fascinating. . . . Winterson makes granular tech know-how remarkably accessible.” —Publishers Weekly

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    • Publisher's Weekly

      August 30, 2021
      Novelist Winterson (Frankissstein) covers the past, present, and future of artificial intelligence in this fascinating survey. As Winterson writes, “Human or machine, we need all the intelligence we can get to wrestle the future out of its pact with death—whether war, or climate breakdown, or probably both.” Twelve essays, or “bytes,” are broken into four sections: the past, “what’s your superpower,” “sex and other stories,” and the future. Central to her thinking is the idea that cooperation, not competition, will help solve technological problems, and that in the not-so-distant future, “we will soon be living with AI in its own embodied (as robots) and non-embodied states.” She argues emphatically that this merger cannot be successful unless diversity is factored into the programming and data collecting: “If AI and AGI really is going to benefit the many and not the few, people invited to the table must include more people of colour, more women, and more people with a humanities background.” Through well-paced and articulate prose, Winterson makes granular tech know-how remarkably accessible—though she often ends sections with a series of questions that have a tendency to overwhelm. Still, Winterson achieves her goal of provoking critical thought and reflection. This is full of insight.

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  • English

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