“‘AI’ Tag”,2019-08-28 (compression)⁠:

Bibliography for tag ai, most recent first: 95 related tags, 114 annotations, & 38 links (parent).

• See Also
• Gwern
  • “The Existential Risk of Math Errors”, Gwern2012
  • “Complexity No Bar to AI”, Gwern2014
• Links
  • “More to Lose: The Adverse Effect of High Performance Ranking on Employees’ Pre-Implementation Attitudes Toward the Integration of Powerful AI Aids”, SimanTov-Nachlieli2024
  • “Wu’s Method Can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry”, Sinha et al 2024
  • “Thousands of AI Authors on the Future of AI”, Grace et al 2024
  • “Bayesian Regression Markets”, Falconer et al 2023
  • “A Quantitative Study of Inappropriate Image Duplication in the Journal Toxicology Reports”, David2023
  • “Getting from Generative AI to Trustworthy AI: What LLMs Might Learn from Cyc”, Lenat & Marcus2023
  • “How AI Can Distort Human Beliefs”, Kidd & Birhane2023
  • “Defending Humankind: Anthropocentric Bias in the Appreciation of AI Art”, Millet et al 2023
  • “Exposure to Automation Explains Religious Declines”, Jackson et al 2023
  • “Impossibility Theorems for Feature Attribution”, Bilodeau et al 2022
  • “Who Made the Paintings: Artists or Artificial Intelligence? The Effects of Identity on Liking and Purchase Intention”, Gu & Li2022
  • “Would You Pass the Turing Test? Influencing Factors of the Turing Decision”, Ujhelyi et al 2022
  • “Machine Learning Reveals Cryptic Dialects That Explain Mate Choice in a Songbird”, Wang et al 2022
  • “The Human Black-Box: The Illusion of Understanding Human Better Than Algorithmic Decision-Making”, Bonezzi et al 2022
  • “National Security Commission On Artificial Intelligence Final Report”, Schmidt et al 2021
  • “How Humans Impair Automated Deception Detection Performance”, Kleinberg & Verschuere2021
  • “Neuroprosthesis for Decoding Speech in a Paralyzed Person With Anarthria [Supplementary Appendix]”, Moses et al 2021
  • “Underspecification Presents Challenges for Credibility in Modern Machine Learning”, D’Amour et al 2020
  • “”Less Than One”-Shot Learning: Learning n Classes From M < N Samples”, Sucholutsky & Schonlau2020
  • “A Time Leap Challenge for SAT Solving”, Fichte et al 2020
  • “Superexponential [Modeling the Human Trajectory]”, Roodman2020
  • “A Promising Path Towards Autoformalization and General Artificial Intelligence”, Szegedy2020
  • “Ball k-Means: A Fast Adaptive k-Means With No Bounds”, Xia et al 2020b
  • “Modeling the Human Trajectory”, Roodman2020
  • “Video-Guided Real-To-Virtual Parameter Transfer for Viscous Fluids”, Takahashi & Lin2019
  • This Could Be Important: My Life and Times With the Artificial Intelligentsia, McCorduck2019
  • “A Mulching Proposal”, Keyes et al 2019
  • “Monte Carlo Gradient Estimation in Machine Learning”, Mohamed et al 2019
  • “Living With Harmony: A Personal Companion System by Realbotix™”, Coursey et al 2019
  • “SageDB: A Learned Database System”, Kraska2019
  • “The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities”, Lehman et al 2018
  • “Generation of Character Illustrations from Stick Figures Using a Modification of Generative Adversarial Network”, Fukumoto et al 2018
  • “Reply to ‘Man against Machine: Diagnostic Performance of a Deep Learning Convolutional Neural Network for Dermoscopic Melanoma Recognition in Comparison to 58 Dermatologists’ by H. A. Haenssle Et Al”, Oakden-Rayner2018
  • “When Will AI Exceed Human Performance? Evidence from AI Experts”, Grace et al 2017
  • “The Implications of Modern Business-Entity Law for the Regulation of Autonomous Systems”, Bayern2016
  • “Is Spearman’s Law of Diminishing Returns (SLODR) Meaningful for Artificial Agents?”, Hernandez-Orallo2016
  • “Reflective Oracles: A Foundation for Classical Game Theory”, Fallenstein et al 2015
  • “Machine Teaching: an Inverse Problem to Machine Learning and an Approach Toward Optimal Education”, Zhu2015b
  • “Bounded Kolmogorov Complexity Based on Cognitive Models”, Strannegård et al 2013
  • “Indefinite Survival through Backup Copies”, Sandberg & Armstrong2012
  • “The International SAT Solver Competitions”, Järvisalo et al 2012
  • “ELECTRON IMAGING TECHNOLOGY FOR WHOLE BRAIN NEURAL CIRCUIT MAPPING”, HAYWORTH 2012
  • “Experimental Evolution of Multicellularity”, Ratcliff et al 2012
  • “Why Philosophers Should Care About Computational Complexity”, Aaronson2011
  • “Ontological Crises in Artificial Agents’ Value Systems”, Blanc2011
  • “Robots Should Be Slaves”, Bryson2010
  • “A Monte Carlo AIXI Approximation”, Veness et al 2009
  • “Machine Learning Attacks against the Asirra CAPTCHA”, Golle2008
  • “InterNyet: Why the Soviet Union Did Not Build a Nationwide Computer Network”, Gerovitch2008
  • “The Basic AI Drives”, Omohundro2008
  • “Asirra: a CAPTCHA That Exploits Interest-Aligned Manual Image Categorization”, Elson et al 2007
  • “On Universal Prediction and Bayesian Confirmation”, Hutter2007
  • “Self-Taught Learning: Transfer Learning from Unlabeled Data”, Raina et al 2007
  • “Assessing the Impact of the Green Revolution, 1960^–₄₀2000_24ya”, Evenson & Gollin2003
  • “The Fastest and Shortest Algorithm for All Well-Defined Problems”, Hutter2002
  • “DART: Revolutionizing Logistics Planning”, Hedberg2002
  • “Recent Developments in the Evolution of Morphologies and Controllers for Physically Simulated Creatures § A Re-Implementation of Sims’ Work Using the MathEngine Physics Engine”, Taylor & Massey2001 (page 6)
  • “Efficient Progressive Sampling”, Provost et al 1999b
  • “On the Optimality of the Simple Bayesian Classifier under Zero-One Loss”, Domingos & Pazzani1997
  • “An Evolved Circuit, Intrinsic in Silicon, Entwined With Physics”, Thompson1997
  • “The Psychology of Thinking: Embedding Artifice in Nature”, Simon1996
  • “A Personal View of Average-Case Complexity”, Impagliazzo1995
  • “Measuring the Complexity of Writing Systems”, Bosch et al 1994
  • “Artificial Life: A Report from the Frontier Where Computers Meet Biology”, Levy1992
  • “Where’s the AI?”, Schank1991
  • “Oral History Interview With Terry Allen Winograd (OH #237) § SHRDLU”, Winograd & Norberg1991 (page 7)
  • “Making a Mind Versus Modeling the Brain: Artificial Intelligence Back at the Branchpoint”, Dreyfus & Dreyfus1991
  • “Copycat: A Computer Model of High-Level Perception and Conceptual Slippage in Analogy Making”, Mitchell1990
  • “In Memory of Henry J. Kelley”, Cliff1989
  • “Machine Learning As an Experimental Science”, Langley1988
  • “The Rise of the Expert Company: How Visionary Companies Are Using Artificial Intelligence to Archieve Higher Productivity and Profits”, Feigenbaum et al 1988
  • “One AI or Many?”, Papert1988
  • “Acoustic Markov Models Used in the Tangora Speech Recognition System”, Bahl et al 1988
  • “Profile of Claude Shannon”, Liversidge & Shannon1987
  • “Experiments With the Tangora 20,000 Word Speech Recognizer”, Averbuch et al 1987
  • “A Critique of Pure Reason”, McDermott1987
  • “On Machine Intelligence, Second Edition”, Michie1986
  • “The Universal Machine: Confessions of a Technological Optimist”, McCorduck1985
  • “Human Window on the World”, Michie1985
  • “Randomness Conservation Inequalities; Information and Independence in Mathematical Theories”, Levin1984
  • “Epigrams on Programming”, Perlis1982
  • Interstellar Communication: Scientific Perspectives, Ponnamperuma & Cameron1974
  • “Universal Sequential Search Problems”, Levin1973
  • Evolutionsstrategie: Optimierung Technischer Systeme Nach Prinzipien Der Biologischen Evolution, Rechenberg1973
  • “Scene Of Change: A Lifetime in American Science”, Weaver1970
  • “Experiments in the Recognition of Hand-Printed Text, Part II: Context Analysis”, Duda & Hart1968
  • “Experiments in the Recognition of Hand-Printed Text, Part I: Character Recognition”, Munson1968b
  • “Cybernetic Predicting Devices”, Ivakhnenko & Lapa1966
  • “Speculations Concerning the First Ultraintelligent Machine”, Good1966
  • “Singular Extremals In Lawden’s Problem Of Optimal Rocket Flight”, Kelley1963
  • “A Steepest-Ascent Method for Solving Optimum Programming Problems”, Bryson & Denham1962
  • “The Social Implications of Artificial Intelligence”, Good1962
  • “Method of Gradients”, Kelley1962
  • “Design for an Intelligence-Amplifier”, Ashby1956
  • “A Proposal For The Dartmouth Summer Research Project On Artificial Intelligence”, McCarthy1955
  • “Intelligent Machinery, A Heretical Theory”, Turing1951
  • “Review of a Book by D. R. Hartree”, Good1951
  • “Computing Machinery And Intelligence”, Turing1950
  • “Chance Remarks”, Pierce1949
  • “Principles of the Self-Organizing Dynamic System”, Ashby1947
  • “2022 Expert Survey on Progress in AI”
  • “The Ethics of Reward Shaping”
  • “Rules of Machine Learning”, Google2024
  • “Using Artificial Intelligence to Augment Human Intelligence”
  • “Branch Specialization”
  • “A Thinking Ape’s Critique of Trans-Simianism”
  • “Blendshape and Kinematics Calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger Tracking Models.”
  • “The Nature of Art”, Leroi2024
  • “Some Thoughts on Education and Political Priorities, Cummings2013”
  • “Submission #6347: Chef Stef’s NES Arkanoid warpless in 11:11.18”
  • “Optical Character Recognition (OCR) in Google Docs”
  • “Recent Progress in the Theory of Neural Networks”
  • “A Primer on Why Computational Predictive Toxicology Is Hard”
  • “The ACLU Fights for Your Constitutional Right to Make Deepfakes”
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    • ethical-ai
    • evolutionary-computation
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