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Название: Machines We Trust: Perspectives on Dependable AI
Автор: Marcello Pelillo, Teresa Scantamburlo
Издательство: The MIT Press
Год: 2021
Страниц: 175
Язык: английский
Формат: pdf (true), epub
Размер: 10.15 MB
Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues.
Автор: Marcello Pelillo, Teresa Scantamburlo
Издательство: The MIT Press
Год: 2021
Страниц: 175
Язык: английский
Формат: pdf (true), epub
Размер: 10.15 MB
Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues.