![]() Schwartz elaborates on the importance of researchers reporting numbers to show how much energy has been consumed when running their programs. When posing questions on the negative consequences that artificial intelligence (AI) may have on society, the economy, and culture, we generally think of questions like “Will robots take my job?” and “What are the costs of developing these new tools?” However, the concerns that need to start being raised are “How is AI impacting the environment?” and “What can we do to make AI systems more efficient in terms of the environment?” In a recent article from Slate, Roy Schwartz, a researcher studying deep learning models at the Allen Institute for Artificial Intelligence and at the University of Washington, spoke on the issue of energy consumption when it comes to developing, using, and, more importantly, training, AI systems. This week in artificial intelligence (AI) news, we take a look at the environmental impact of AI systems, a review of Stuart Russell’s new book on controlling AI, and Yoshua Bengio’s work developing an algorithm to help machines learn cause and effect. ![]()
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