Kinds of intelligence: types, tests and meeting the needs of society

Kinds of intelligence types, tests and meeting the needs of society banner


types, tests and meeting the needs of society

NIPS2017 Symposium
Center (Beverley) Theater, Long Beach Convention Center, CA.
December 7th, 2017

Existing research in machine learning and artificial intelligence has been constrained by a focus on specific tasks chosen either for their perceived importance in human intelligence, their expected practical impact, their suitability for testing and comparison, or simply by an accident of research trends.

However, the intelligence landscape extends far beyond our current capabilities, with many unexplored dimensions that present themselves as new opportunities for research.

This symposium explores this landscape across three main topics: a broader perspective of the possible kinds of intelligence beyond human intelligence, better measurements providing an improved understanding of research objectives and breakthroughs, and a more purposeful analysis of where progress should be made in this landscape in order to best benefit society.

For more information, visit the website.

To view slides and video from the workshop, visit


Speakers and Panellists

  • Prof. Cynthia Dwork, Harvard University
  • Prof. Zoubin Ghahramani, Cambridge
  • Prof. Alison Gopnik, Berkeley
  • Dr. Demis Hassabis, DeepMind
  • Dr. Katja Hofmann, Microsoft Research
  • Prof. Lucia Jacobs, Berkeley
  • Prof. Gary Marcus, NYU
  • Prof. David Runciman, Cambridge
  • Prof. Joshua Tenenbaum, MIT


  • 2:00-2:05 Opening remarks (SLIDES, VIDEO)
  • 2:05-4:00 Session 1: "The intelligence landscape"
    • Presentation (30 min): Lucia Jacobs: "Why the mind evolved: the evolution of navigation in real landscapes" (VIDEO)
    • Presentation (30 min): Alison Gopnik: "The distinctive intelligence of young children: Insights for AI from cognitive development" (SLIDES, VIDEO)
    • Presentation (30 min): Demis Hassabis: "Learning from first principles" (VIDEO)
    • Panel + Q&A (25 min): "What can we learn from types of intelligent behaviour that are not usually covered by AI methods, and the other way round?" Panellists: Lucia, Alison, Demis (VIDEO)
  • 4:00-4:30 Coffee break
  • 4:30-6:30 Session 2: "Mapping the intelligence landscape"
    • Presentation (30 min): Josh Tenenbaum; "Types of intelligence: why human-like AI is important" (VIDEO)
    • Presentation (30 min): Gary Marcus: "The road to artificial general intelligence" (VIDEO)
    • Presentation (30 min): Katja Hofmann: "Video games and the road to collaborative AI" (SLIDES, VIDEO)
    • Panel + Q&A (30 min) "How can we characterise the landscape of intelligent systems and locate human-like intelligence in it?". Panellists: Josh, Gary, Katja (VIDEO)
  • 6:30-7:30 Light dinner break
  • 7:30-9:20 Session 3: "The intelligence landscape society needs"
    • Presentation (35 min): Cynthia Dwork: "Fair questions" (SLIDES)
    • Presentation (35 min): David Runciman: "States, corporations, thinking machines: artificial agency and artificial intelligence"
    • Panel + Q&A (40 min) "Should we prioritize research on human-like AI or something different?": Cynthia, David, Zoubin
  • 9:20-9:30 Closing remarks. (SLIDES)