AGI 2011: The Future of AGI Workshop Part 1 - Ethics of Advanced AGI
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Uploaded by GoogleTechTalks on Aug 31, 2011
The Fourth Conference on Artificial General Intelligence
Mountain View, California, USA
August 3-6, 2011
The Future of AGI Workshop Part 1 - Ethics of Advanced AGI
Workshop intro: Ben Goertzel
Steve Omohundro, Design Principles for a Safe and Beneficial AGI Infrastructure
http://agi-conf.org/2011/abstract-stephen-omohundro
Anna Salamon, Can Whole Brain Emulation help us build safe AGI?
http://agi-conf.org/2011/anna-salamon-abstract
Anna Salamon, Risk-averse preferences as AGI safety technique
http://agi-conf.org/2011/carl-shulman-abstract
Mark Waser, Rational Universal Benevolence: Simpler, Safer, and Wiser than "Friendly AI"
http://becominggaia.wordpress.com/papers/rational-universal-benevolence-simpl...
Itamar Arel, Reward Driven Learning and the Risk of an Adversarial Artificial General Intelligence
http://agi-conf.org/2011/abstract-itamar-arel/
Ahmed Abdel-Fattah & Kai-Uwe Kuehnberger, Remarks on the Feasibility and the Ethical Challenges of a Next Milestone in AGI
http://agi-conf.org/2011/abstract-ahmed-abdel-fattah-and-kai-uwe-kuehnberger/
Matt Chapman, Maximizing The Power of Open-Source for AGI
http://agi-conf.org/2011/matt-chapman-abstract/
Ben Goertzel and Joel Pitt, Nine Ways to Bias Open-Source AGI Toward Friendliness
http://agi-conf.org/2011/wp-content/uploads/2009/06/NineWaysToBias.pdf
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Thank you google for providing this. All hail the mighty and all knowing hand of google.
sharpezor 1 week ago
46:23 - Rewards in reinforcement learning are scalars - by definition. Reinforcement learning is *defined* as being learning driven by a scalar reward. If you *don't* have a scalar reward, it isn't reinforcement learning any more.
tmtyler 1 month ago
cool
aebelsky 4 months ago