AI Ethics
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논픽션
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 Ascent Audio (오디오북): 9781469078236
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오디오북: 2020년 4월 7일
AI Ethics와 비슷한 책
- Data Science John D. Kelleher, Brendan Tierney
- Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence Kate Crawford
- The Deep Learning Revolution Terrence J. Sejnowski
- Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith
- Extraterrestrials Wade Roush
- Artificial Intelligence For Dummies Luca Massaron, John Paul Mueller
- Artificial You: AI and the Future of Your Mind Susan Schneider
- Robots John M. Jordan
- Uberland: How Algorithms Are Rewriting the Rules of Work Alex Rosenblat
- Game Theory: Understanding the Mathematics of Life Brian Clegg
- Mastering Logical Fallacies: The Definitive Guide to Flawless Rhetoric and Bulletproof Logic Michael Withey
- Maths on the Back of an Envelope: Clever ways to (roughly) calculate anything Rob Eastaway
- Thinking Better: The Art of the Shortcut Marcus du Sautoy
- The Technology Trap: Capital, Labor, and Power in the Age of Automation Carl Benedikt Frey
- Computational Thinking Peter J. Denning, Matti Tedre
- The Formula: How Algorithms Solve all our Problems... and Create More Luke Dormehl
- Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again Eric Topol
- What to Think About Machines That Think: Today's Leading Thinkers on the Age of Machine Intelligence John Brockman
- Ten Short Lessons in Artificial Intelligence and Robotics Peter J. Bentley
- Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas, Patrick McSharry
- A Brief History of Intelligence: Why the Evolution of the Brain Holds the Key to the Future of AI Max Bennett
- Democracy, Culture and the Voice of Poetry Robert Pinsky
- Infinite Powers: How Calculus Reveals the Secrets of the Universe Steven Strogatz
- The AI Delusion Gary Smith
- How Smart Machines Think Sean Gerrish
- Rewriting the Rules of the European Economy: An Agenda for Growth and Shared Prosperity Joseph E. Stiglitz
- The Metaverse: And How It Will Revolutionize Everything Matthew Ball
- Seven Ways to Change the World: How To Fix The Most Pressing Problems We Face Gordon Brown
- The Joy of X: A Guided Tour of Math, from One to Infinity Steven Strogatz
- This Idea is Brilliant: Lost, Overlooked, and Underappreciated Scientific Concepts Everyone Should Know John Brockman
- A Hacker's Mind: How the Powerful Bend Society's Rules, and How to Bend them Back Bruce Schneier
- Fluke: The Math and Myth of Coincidence Joseph Mazur
- Mathematics for Human Flourishing Francis Su
- The Number Mysteries: A Mathematical Odyssey through Everyday Life Marcus du Sautoy
- The Age of AI: Artificial Intelligence and the Future of Humanity Jason Thacker
- Green Swans: The Coming Boom In Regenerative Capitalism John Elkington
- Mission Economy: A Moonshot Guide to Changing Capitalism Mariana Mazzucato
- The Creativity Code: How AI is learning to write, paint and think Marcus du Sautoy
- Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else Steve Lohr
- The Digital Silk Road: China's Quest to Wire the World and Win the Future Jonathan E. Hillman
- Progress: Ten Reasons to Look Forward to the Future Johan Norberg
- Dark Data: Why What You Don't Know Matters David J. Hand
- How Charts Lie: Getting Smarter about Visual Information Alberto Cairo
- Deep Learning John D. Kelleher
- Artificial Intelligence: Modern Magic or Dangerous Future? Yorick Wilks
- Behavioral Economics: The Basics Philip Corr, Anke Plagnol
- GDP: The World’s Most Powerful Formula and Why it Must Now Change Ehsan Masood
- 어린이날이 사라진다고? 노수미
- 그 많던 싱아는 누가 다 먹었을까 박완서
- 신기한 맛 도깨비 식당 1 김용세, 김병선
- who? 마이클 잭슨 툰쟁이, 한나나
- 용선생 처음 세계사1: 고대 문명~중세: 고대 문명~중세 김선혜, 정지윤, 노남희, 뭉선생, 윤효식, 이우일, 김선빈, 사회평론 역사연구소
- 기분이 태도가 되지 않게 레몬심리
- who? 이순신 스튜디오청비, 이수겸
- 돈의 속성 김승호
- 바람의 화원 1 이정명
- Henry and Mudge: The First Book Cynthia Rylant
- who? 단군·주몽 정병훈, 최재훈
- 어린 왕자 앙투안 드 생텍쥐페리
- 명탐정 셜록 홈즈 1 아서 코난 도일
- 무지개 목욕탕 강효미, 밤코
- 신기한 맛 도깨비 식당 3 김용세, 김병선
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