AI@50
AI@50, formally known as the "Dartmouth Artificial Intelligence Conference: The Next Fifty Years", was a conference organized by James H. Moor, commemorating the 50th anniversary of the Dartmouth workshop which effectively inaugurated the history of artificial intelligence. Five of the original ten attendees were present: Marvin Minsky, Ray Solomonoff, Oliver Selfridge, Trenchard More, and John McCarthy.
While sponsored by Dartmouth College, General Electric, and the Frederick Whittemore Foundation, a $200,000 grant from the Defense Advanced Research Projects Agency (DARPA) called for a report of the proceedings that would:
- Analyze progress on AI's original challenges during the first 50 years, and assess whether the challenges were "easier" or "harder" than originally thought and why
- Document what the AI@50 participants believe are the major research and development challenges facing this field over the next 50 years, and identify what breakthroughs will be needed to meet those challenges
- Relate those challenges and breakthroughs against developments and trends in other areas such as control theory, signal processing, information theory, statistics, and optimization theory.
Conference Program and links to published papers
- James H. Moor, conference Director, Introduction
- Carol Folt and Barry Scherr, Welcome
- Carey Heckman, Tonypandy and the Origins of Science
AI: Past, Present, Future
- John McCarthy, What Was Expected, What We Did, and AI Today
- Marvin Minsky, The Emotion Machine
The Future Model of Thinking
- Ron Brachman and Hector Levesque, A Large Part of Human Thought
- David Mumford, What is the Right Model for 'Thought'?
- Stuart Russell, The Approach of Modern AI
The Future of Network Models
- Geoffrey Hinton & Simon Osindero, From Pandemonium to Graphical Models and Back Again
- Rick Granger, From Brain Circuits to Mind Manufacture
The Future of Learning & Search
- Oliver Selfridge, Learning and Education for Software: New Approaches in Machine Learning
- Ray Solomonoff, Machine Learning — Past and Future
- Leslie Pack Kaelbling, Learning to be Intelligent
- Peter Norvig, Web Search as a Product of and Catalyst for AI
The Future of AI
- Rod Brooks, Intelligence and Bodies
- Nils Nilsson, Routes to the Summit
- Eric Horvitz, In Pursuit of Artificial Intelligence: Reflections on Challenges and Trajectories
The Future of Vision
- Eric Grimson, Intelligent Medical Image Analysis: Computer Assisted Surgery and Disease Monitoring
- Takeo Kanade, Artificial Intelligence Vision: Progress and Non-Progress
- Terry Sejnowski, A Critique of Pure Vision
The Future of Reasoning
- Alan Bundy, Constructing, Selecting and Repairing Representations of Knowledge
- Edwina Rissland, The Exquisite Centrality of Examples
- Bart Selman, The Challenge and Promise of Automated Reasoning
The Future of Language and Cognition
- Trenchard More The Birth of Array Theory and Nial
- Eugene Charniak, Why Natural Language Processing is Now Statistical Natural Language Processing
- Pat Langley, Intelligent Behavior in Humans and Machines
The Future of the Future
- Ray Kurzweil, Why We Can Be Confident of Turing Test Capability Within a Quarter Century
- George Cybenko, The Future Trajectory of AI
- Charles J. Holland, DARPA's Perspective
AI and Games
- Jonathan Schaeffer, Games as a Test-bed for Artificial Intelligence Research
- Danny Kopec, Chess and AI
- Shay Bushinsky, Principle Positions in Deep Junior's Development
Future Interactions with Intelligent Machines
- Daniela Rus, Making Bodies Smart
- Sherry Turkle, From Building Intelligences to Nurturing Sensibilities
Selected Submitted Papers: Future Strategies for AI
- J. Storrs Hall, Self-improving AI: An Analysis
- Selmer Bringsjord, The Logicist Manifesto
- Vincent C. Müller, Is There a Future for AI Without Representation?
- Kristinn R. Thórisson, Integrated A.I. Systems
Selected Submitted Papers: Future Possibilities for AI
- Eric Steinhart, Survival as a Digital Ghost
- Colin T. A. Schmidt, Did You Leave That 'Contraption' Alone With Your Little Sister?
- Michael Anderson & Susan Leigh Anderson, The Status of Machine Ethics
- Marcello Guarini, Computation, Coherence, and Ethical Reasoning