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The Future History Of Artificial General Intelligence - Ben Goertzel - H+ Summit @ Harvard


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The Future History of Artificial General Intelligence:
Cognitive Robotics and the Global Brain, 2010-2040

After a brief survey of the state of the art in AGI, cognitive robotics and distributed Internet intelligence, we will extrapolate current technology directions forward, and look at some of the more plausible and interesting future possibilities. Special attention will be paid to the scenario in which global brain technology helps provide both background knowledge, collective hybrid human/digital computing power and human-friendly goal content for non-human-like, self-improving AGI systems.

Dr. Ben Goertzel is CEO of AI software company Novamente LLC and bioinformatics company Biomind LLC; leader of the open-source OpenCog AI software project; Vice Chairman of Humanity+; Advisor to the Singularity University and Singularity Institute; and External Research Professor at Xiamen University, China. His research work encompasses artificial general intelligence, natural language processing, cognitive science, data mining, machine learning, computational finance, bioinformatics, virtual worlds and gaming and other areas. He has published a dozen scientific books, nearly 90 technical papers, and numerous journalistic articles. Before entering the software industry he served as a university faculty in several departments of mathematics, computer science and cognitive science, in the US, Australia and New Zealand. He has three children and too many pets, and in his spare time enjoys creating avant-garde fiction and music, and the outdoors.

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The Future History Of Artificial General Intelligence - Ben Goertzel - H+ Summit @ Harvard

  1. 1. The Future History of Artificial General Intelligence: 2010-2045 Dr. Ben Goertzel CEO, Novamente LLC and Biomind LLC CTO, Genescient Corp. Vice Chairman, Humanity+ External Research Professor, Xiamen University Advisor, Singularity Institute and Singularity University
  2. 2. 2010
  3. 3. “Narrow AI”, rather than “Artificial General Intelligence” (AGI) still dominates the AI field Each “Narrow AI” program is (in the ideal case) highly competent at carrying out certain complex tasks in certain environments
  4. 4. Narrow AI helps fight disease In 2005, Biomind’s AI found a ~100% accurate predictor of Parkinson’s Disease based on heteroplasmic mitochondrial mutations
  5. 5. Narrow AI helps fight aging tumor suppression metabolism heat shock (stress response) 2009: Biomind AI infers aging networks from gene expression data from Genescient’s “Methuselah flies”
  6. 6. 2010: AGI is on the Rise
  7. 7.
  8. 8. AGI-11 August 2011 Google Campus Mountain View CA
  9. 9. one practical approach to advanced AGI: OpenCog late 2010
  10. 10. At Xiamen University, OpenCog is being used to control a Nao robot
  11. 11. 2010: The Robot Revolution Begins
  12. 12. 2020
  13. 13. 2020: Rise of the Robot Children
  14. 14. 2020: Rise of the AI Scientists useful animal/ useful early-stage AGI, childlike + = narrow AI such as AGI virtual AI scientists
  15. 15. A truly powerful artificial scientist will emerge from combining childlike, commonsense-savvy AGI with multiple science-specific narrow-AI algorithms Declarative Probabilistic Logic Networks, concept Attentional/ Procedural Intentional MOSES economic (probabilistic attention evolutionary networks, learning), Sensory Episodic hierarchy of internal world memory/ simulation processing engine units
  16. 16. one path to a powerful global brain: AGI + narrow-AI + humans + communication networks 2020: Emergence of a more reflective, deliberative global brain spanning AGIs, narrow AIs and humans
  17. 17. 2030
  18. 18. 2030: One Big AI Network
  19. 19. 2030: Jacked into the AI Network
  20. 20. 2040
  21. 21. Kurzweil projects technological Singularity around 2045
  22. 22. Text
  23. 23. 2010
  24. 24.