Machines We Trust
Perspectives on Dependable AI
By Marcello Pelillo, Teresa Scantamburlo | Publisher: MIT Press
About the book
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.
The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the \"ethical debts\" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a \"human-centered AI\" to that of an \"AI-decentered humanity.\" Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.
Editions of Machines We Trust
- Paperback
- ISBN 9780262542098
- EBook
- ISBN 9780262362160
Read an Excerpt
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.
The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the \"ethical debts\" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a \"human-centered AI\" to that of an \"AI-decentered humanity.\" Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.
Frequently Asked Questions
What is Machines We Trust about?
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.
The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the \"ethical debts\" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a \"human-centered AI\" to that of an \"AI-decentered humanity.\" Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.
What core themes, tropes, or subjects are explored in Machines We Trust?
Computing and Information Technology > Computer science > Artificial intelligence (AI)
Where can I read a sample of Machines We Trust?
You can read an official preview of the few pages here https://www.book2look.com/book/9780262542098
Who is/are the Author/s of the book Machines We Trust?
Marcello Pelillo, Teresa Scantamburlo
Who is the Publisher of the book Machines We Trust?
MIT Press
What are the ISBN numbers for the physical and digital editions?
Machines We Trust is available as paperback(ISBN 9780262542098) and ebook(ISBN 9780262362160)
Where can I buy Machines We Trust online or support local independent bookshops?
You can buy Machines We Trust from below
Where can I buy Machines We Trust?