Abstract

M. Gini, N. Agmon, F. Giunchiglia, S. Koenig and K. Leyton-Brown. Artificial Intelligence in 2027. AI Matters, 4, (1), 10-20, 2018.

Abstract: Every day we read in the scientific and popular press about advances in AI and how AI is changing our lives. Things are moving at a fast pace, with no obvious end in sight. What will AI be ten years from now? A technology so pervasive in our daily lives that we will no longer think about it? A dream that has failed to materialize? A mix of successes and failures still far from achieving its promises? At the 2017 International Joint Conference on Artificial Intelligence (IJCAI), Maria Gini chaired a panel to discuss “AI in 2027.” There were four panelists: Noa Agmon (Bar-Ilan University, Israel), Fausto Giunchiglia (University of Trento, Italy), Sven Koenig (University of Southern California, US), and Kevin Leyton-Brown (University of British Columbia, Canada). Each of the panelists specializes in a different part of AI, so their visions span the field, providing an exploration of possible futures. The panelists were asked to present their views on possible futures, specifically addressing what AI technologies they expected would be in widespread use in 2027, what they thought would still show potential but not have become widely accepted, and what they expected the AI research landscape to look like ten years from now. This article summarizes the main points that each panelist made and their reflections on the topics. The focus in each contribution is not much on predicting the future but on bringing up specific open problems in each subarea and discuss how the current AI technologies could be steered to address them.

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