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.
What listeners say about AI Ethics
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A really great survey: wide, bright, listenable
I have read maybe a half dozen books in this general area. This one stands out for nimbly tying AI issues to the best ideas of ethics and philosophy. It is head and shoulders above others I've seen in sorting out and laying out this particular aspect of AI. It does not offer simple answers but shows us the complexity of issues we are coming up against, that cannot be dodged. This interfaces very well with the AI law books I have read.