AI Ethics cover art

AI Ethics

Preview
Subscribe now Free with 30-day trial
Offer ends on 14 April, 2026 at 23:59.
Prime logo
Pay ₹5/month for 2 months and ₹199/month after 2 months, Cancel anytime. Offer ends on 14 April 2026 at 23:59. Take this offer!
1 credit a month to use on any title to download and keep.
Listen to anything from the Plus Catalogue—thousands of Audible Originals, podcasts and audiobooks.
Download titles to your library and listen offline.
1 credit a month to use on any title to download and keep
Listen to anything from the Plus Catalogue—thousands of Audible Originals, podcasts and audiobooks
Download titles to your library and listen offline
₹199 per month after 30-day trial. Cancel anytime.

AI Ethics

Written by: Mark Coeckelbergh
Narrated by: Liam Gerrard
Subscribe now Free with 30-day trial

Pay ₹5/month for 2 months and ₹199/month after 2 months, Cancel anytime. Offer ends on 14 April 2026 at 23:59.

₹199 per month after 30-day trial. Cancel anytime.

Buy Now for ₹469.00

Buy Now for ₹469.00

LIMITED TIME OFFER | Get 2 Months for ₹5/month

About this listen

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers.

©2020 The Massachusetts Institute of Technology (P)2020 Gildan Media
Computer Science Ethics & Morality History & Culture Philosophy Science Artificial Intelligence Ethics
No reviews yet