态度: 一年前就看过 这次阿尔法狗赢了又看了一遍 看一次吓死一次
http://zhuanlan.zhihu.om/xiepanda/19950456 英文原文
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html 相关来源:
The most rigorous and thorough look at the dangers of AI:
Nick Bostrom Superintelligence: Paths, Dangers, Strategies
The best overall overview of the whole topic and fun to read:
James Barrat Our Final Invention
Controversial and a lot of fun. Packed with facts and charts and mind-blowing future projections:
Ray Kurzweil The Singularity is Near
Articles and Papers:
J. Nils Nilsson The Quest for Artificial Intelligence: A History of Ideas and AchievementsSteven Pinker How the Mind WorksVernor Vinge The Coming Technological Singularity: How to Survive in the Post-Human Era
Nick Bostrom Ethical Guidelines for A SuperintelligenceNick Bostrom How Long Before Superintelligence?
Nick Bostrom Future Progress in Artificial Intelligence: A Survey of Expert Opinion
Moshe Y. Vardi Artificial Intelligence: Past and FutureRuss Roberts, EconTalk Bostrom Interview and Bostrom Follow-UpStuart Armstrong and Kaj Sotala, MIRI How We ’ re Predicting AI or Failing ToSusan Schneider Alien MindsStuart Russell and Peter Norvig Artificial Intelligence: A Modern ApproachTheodore Modis The Singularity Myth
Gary Marcus Hyping Artificial Intelligene, Yet Again
Steven Pinker Could a Computer Ever Be Conscious?
Carl Shulman Omohundro ’ s “ Basic AI Drives ” and Catastrophic Risks
World Economic Forum Global Risks 2015
John R. Searle What Your Computer Can ’ t Know
Jaron Lanier One Half a Manifesto
Bill Joy Why the Future Doesn ’ t Need Us
Kevin Kelly Thinkism
Paul Allen The Singularity Isn ’ t Near (and Kurzweil ’ s response)
Stephen Hawking Transcending Complacency on Superintelligent Machines
Kurt Andersen Enthusiasts and Skeptics Debate Artificial Intelligence
Terms of Ray Kurzweil and Mitch Kapor ’ s bet about the AI timeline
Ben Goertzel Ten Years To The Singularity If We Really Really Try
Arthur C. Clarke Sir Arthur C. Clarke ’ s Predictions
Hubert L. Dreyfus What Computers Still Can ’ t Do: A Critique of Artificial Reason
Stuart Armstrong Smarter Than Us: The Rise of Machine Intelligence
Ted Greenwald X Prize Founder Peter Diamandis Has His Eyes on the Future
Kaj Sotala and Roman V. Yampolskiy Responses to Catastrophic AGI Risk: A Survey
Jeremy Howard TED Talk The wonderful and terrifying implications of computers that can learn
作者:谢熊猫君
链接:
https://www.zhihu.com/question/27864852/answer/39007053 来源:知乎
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。