
Sex, Race, and Robots
How to Be Human in the Age of AI
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Narrateur(s):
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Amandla Stenberg
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Auteur(s):
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Dr. Ayanna Howard
À propos de cet audio
In the movies, robots can be terrifying. In reality, thinking machines are disrupting the world in ways that are even more disturbing than in Hollywood fantasies - but they also have the potential to change our lives for the better.
In this stirring, visionary work, acclaimed roboticist Dr. Ayanna Howard explores how the tech world’s racial and sexual biases are infecting the next generation of Artificial Intelligence, with profoundly negative effects for humans of all genders and races.
Drawing on cutting-edge research, and her own experience as one of the few Black women in the field of robotics, Dr. Howard shares how she navigated bias in her own coming-of-age as a roboticist. She also reveals how the world of computer programmers, which largely lacks women and Black people, is producing thinking machines that too often think like their flawed creators.
The danger of bias in our AI-powered machines has never been greater. Governments are using supercomputers to track COVID-19 patients. AI is being employed to monitor Black Lives Matter protests. Voice recognition systems have been rolled out that can’t hear female voices. Dr. Howard delivers a stirring warning about the risks of AI and robots - but also offers an uplifting message about empowerment and where we need to go next.
©2019 Audible Originals LLC (P)2020 Audible Originals, LLC.Great Listen
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Basic complaints:
- Data are plural.
- Big cracks in ice are crevasses, not crevices.
- Far too many pop culture references and not enough concrete references to actual companies creating and developing AI. (i.e., some companies are doing this, while others are going this route… why not give listeners specific details?)
In spite of these points, this is an extraordinarily important topic and book, and I enjoyed the book immensely. Highly recommend.
Extremely interesting, not great narration.
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Worth a listen!
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So interesting!
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Disappointing
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