Green AI
The computations required for deep learning research have been doubling every few months, resulting in an estimated 300,000x increase from 2012 to 2018. This trend has led to unprecedented success in a range of AI tasks. In this talk I will discuss a few troubling side-effects of this trend, touching on issues of lack of inclusiveness within the research community, and an increasingly large environmental footprint.
I will then present Green AI – an alternative approach to help mitigate these concerns. Green AI is composed of two main ideas: increased reporting of computational budgets, and making efficiency an evaluation criterion for research alongside accuracy and related measures. I will discuss these two ideas, presenting recent efforts and open questions.
Roy Schwartz
Senior Lecturer at School of Computer Science and Engineering, The Hebrew University of Jerusalem
Roy Schwartz is a senior lecturer (assistant professor) at the School of Computer Science and Engineering at The Hebrew University of Jerusalem (HUJI). Roy studies natural language processing and artificial intelligence. Prior to joining HUJI, Roy was a postdoc (2016-2019) and then a research scientist (2019-2020) at the Allen institute for AI and at the School of Computer Science and Engineering at The University of Washington.
Roy completed his Ph.D. in 2016 at the School of Computer Science and Engineering at HUJI. Roy’s work has appeared on the cover of the CACM magazine, and has been featured, among others, in the New York Times, MIT Tech Review, and Forbes.
