Artificial Intelligence: The Next Environmental Frontier
February 2018

(Washington, DC): What happens to the rule of law in a world where software rules?  Software manipulation of over a half million VW diesel automobiles created one of the largest environmental scandals of the past decade.  But as software becomes smarter, it can also reduce energy and resource use, monitor pollution, and help predict weather patterns.  The environmental impacts of artificial intelligence (AI) may depend on when and how the environmental community engages with technology de

When Software Rules: Rule of Law in the Age of Artificial Intelligence
Dave Rejeski, Lovinia Reynolds, and Sarah Wright
Date Released
February 2018
When Software Rules: Rule of Law in the Age of Artificial Intellegence

Artificial Intelligence (AI) is changing how our society operates. AI now helps make judiciary decisions, medical diagnoses, and drives cars. The use of AI in our society also has important environmental implications. AI can help improve resource use, improve energy efficiency, predict extreme weather events, and aid in scientific research. But while AI has the potential to improve human interaction with the environment, AI can also exacerbate existing environmental issues. Some form of governance is needed to ensure that AI is deployed in a manner that is beneficial for our environment.

Award-Winning Game by ELI and Partners Now Available for Sale!
November 2017

(Washington, DC): Last summer, the Environmental Law Institute (ELI) announced that “Cards Against Calamity,” created by 1st Playable in partnership with ELI and the National Oceanographic and Atmospheric Administration, received a gold ranking for table top learning games designed for education or training at the 2017 International Serious Play Awards.


Can we develop a new set of behaviors, functions, and organizational designs that operate dynamically inside innovation systems in a parallel processing mode and support the co-evolution, rapid learning, and agility required to place environmental solutions in front of technological change (or, at least, parallel to it)?


Explore the environmental implications of the “next production revolution” (NPR), which “has the potential to completely change how production will be organized at the global scale…[and] will bring about important economic and social change which have important implications for policy making (OECD  2015).” This includes:


Let’s imagine a future where our cities, transportation systems, utilities, and production chains become self-motivated environmental learners. How can we embed environmental sensing and learning into complex social/technological/economic systems?