Dhar, V. 2016. The future of artificial intelligence. Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA.
|Resource type: Miscellaneous
BibTeX citation key: Dhar2016
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|Categories: Artificial Intelligence, Cognitive Science, Computer Science, Ethics, General, Innovation
Subcategories: Augmented cognition, Autonomous systems, Machine intelligence, Psychology of human-AI interaction
Publisher: Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA
On January 11–12, NYU hosted a symposium titled “The Future of Artificial Intelligence,” which brought together artificial intelligence (AI) researchers from academia and industry for two intense days of discussion (http://cds.nyu.edu/ai/?pass=CfLjizw47). In this editorial, I provide some context and perspective on the event—specifically, the major questions facing the field at the current time and the technical and societal challenges involved in addressing them.
Google CEO Eric Schmidt gave the opening talk, listing the recent advancements in AI that have enabled capabilities for solving previously intractable problems. He stressed that AI should forge a future that benefits “the many” instead of “the few.” Challenges in water purification, synthetic food production, logistics of distribution, and optimal management of supply/demand of energy are some of the areas where our ability to leverage natural flows of data governs our ability to meet our collective needs.
Schmidt envisions a world where research is “open,” contrasted with military-supported research, which is often classified and motivated by considerations other than the good of humanity. He discussed the importance of industry/academic collaboration, for example, by measuring advances on open real-world data sets available to the scientific community at large. He stressed the need for “platforms” for scientific advancement and the need for systems built on these platforms to be able to handle the dynamic nature of problems, and be inventive enough to be able to learn in parallel with their operation.
Facebook CTO Mike Schroepfer stressed a similar commitment to “10 year problems” and sharing data and algorithms, promoting open and peer-reviewed research. Facebook is eager to promote basic research by “installing labs next to where the scientists are.”
The discussion among the scientists at the symposium was forward looking, projecting impacts and benefits, and humanity's longer-term future with AI. Five major questions emerged from this discussion: