• The Promise and Peril of Artificial Intelligence

  • Dec 17 2021
  • Duración: 2 h y 7 m
  • Podcast

The Promise and Peril of Artificial Intelligence Por arte de portada

The Promise and Peril of Artificial Intelligence

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  • From Skynet to Singularitarian fantasy, AI is back in vogue with much hype and hand-wringing. Mainstream media don’t really know how to talk about it in a way that brings as much light as heat. In fact, even AI researchers have difficulty unpacking concepts like, well, intelligence. Philosophers stand by with critical eyes. Michael and Max talk about the stickier issues as they try to find footing in a fog of mystery and misinformation. What is cognition? What are morals? Are we recreating conscious minds or just spinning out more sophisticated algorithms? Such questions linger as the industry speeds along, whether or not we have ready answers. Conversations like this help us burn the proverbial candle at both ends. Artificial IntelligenceIntelligenceBoston Dynamics dog SpotA Collection of Definitions of Intelligence by Marcus Hutter and Shane LeggMetalhead episode of Black Mirror with killer robot dogsInstrumental RationalityIntelligence Quotient and g factor the psychometric of general human intelligenceMultiple Intelligences and developmental psychologist, Howard GardnerTechnological SingularityThe Age of Spiritual Machines and The Singularity is Near: When Humans Transcend Biology by Ray KurzweilExponential growthSymposium: 'Will Spiritual Robots Replace Humanity?' on April 1st, 2000Why the Future Doesn’t Need Us by Bill JoyGPT-3 an AI text generatorMoore’s lawMoore’s Law is not dead and AI is ready to explodeIJ “Jack” Good and the Intelligence Explosion FAQAlphaGo project from DeepMind at GoogleLee SedolAlphaZero project from Deepmind Thomas Thwaites: How I built a toaster - from scratchI, Pencil by Leonard Read2001 A Space OdysseyTerminatorDystopia“We are as gods and might as well get good at it.” — Stewart BrandStuart J. RussellThe myth of King Midas and the curse of his Golden TouchThe Sorcerer’s ApprenticePaperclip MaximizerSuperintelligenceSuperintelligence: Paths, Dangers, Strategies by Nick BostromDescartes Errror and The Feeling of What Happens and the somatic marker hypothesis from Antonio DamasioThe Elephant and the Rider from Jonathan HaidtDual process theory — System 1 & System 2The prefrontal cortexReinforcement learningSkinner boxPlaying Atari with Deep Reinforcement LearningNeocortexCortical columnHow to Create a Mind by Ray KurzweilOn Intelligence: How a New Understanding of the Brain will Lead to the Creation of Truly Intelligent Machines by Jeff HawkinsPredictive model of the brainB. F. Skinner and behaviorismNoam Chomsky and the cognitive revolutionNeural networksMachine learningWriting Successful Reward FunctionsSearch engineImage classifierHomeostasisInstrumental Convergence, the orthogonality thesis, and the superintelligent willExternalitiesThe Chinese Room Argument from John SearleOracle AIDeep LearningArtificial general intelligenceAI safety conference in Puerto RicoTristan HarrisIason Gabriel on Foundational Philosophical Questions in AI Alignment with Future of Life InstituteMorality, ethics, and meta-ethicsMoral anti-realismJustice as Fairness by John RawlsAI Alignment Problem, aka, the Control ProblemEthics of technology“We shape our tools and our thereafter our tools shape us”Daniel SchmactenbergerLaws of RoboticsFriendly AIHuman Compatible: Artificial Intelligence and the Problem of Control by Stuart J. RussellAsliomar AI PrinciplesComplexityDarwin MachineUniversal DarwinismThe Alignment Problem: Machine Learning and Human Values by Brian ChristianMoral ConstructivismBlockchainDecentralizationCode is Law by Lawrence LessigNudge theory from Richard Thaler and Cass SunsteinSpiral DynamicsJohn Nash and game theorDavid Gauthier and social contract theory of moralityAhimsaThe Golden RuleJohn Stuart MillNo-harm principleCategorical imperative from Immanuel KantNegative UtilitarianismCommunicative rationality from Jürgen HabermasHippocratic oathMutually assured destructionWarrior monkNon-attachmentDesireBiofeedbackSocial realityNetwork effectBrain-computer interfaceAgent-based models and simulationsWhy deep-learning AIs are so easy to foolMoravec’s Paradox aka “the hard things are easy and the easy things are hard”Adversarial machine learningDeduction vs. Induction vs. AbductionAI Winter & hype-cycleCommon SenseCreativityAnalogy and Analogical ReasoningInference to the best explanation aka abductive inference aka hypothesis generationCognitive scienceCompetitive vs. Complementary Cognitive Artifacts
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