The MIT Press Essential Knowledge Series - AI Ethics - Mark Coeckelbergh
Language: EnglishKeywords: 
Artificial Intelligence
 MIT
 Technology
Shared by:ihophats
Written by
Read by Liam Gerrard
Format: MP3
Bitrate: 64 Kbps
Unabridged
Length: 4 hrs and 9 mins
Release date: 04-07-20
An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.
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. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.
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. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.
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| Creation Date: | Wed, 17 Jun 2020 16:22:17 +0100 |
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This post has 2 comments with rating of 5/5
June 22nd, 2020
We’ll see if it touches upon explainable AI.
Fun to think we’ve coded in our own human biases into the datasets that now have resulted in biased AI.
July 14th, 2020
…ya have to go with what ya (don’t) know…
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