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This project aims to improve our understanding of the likely impacts of human-level artificial intelligence.

The intended audience includes researchers doing work related to artificial intelligence, philanthropists involved in funding research related to artificial intelligence, and policy-makers whose decisions may be influenced by their expectations about artificial intelligence.

The focus is particularly on the long-term impacts of sophisticated artificial intelligence. Although human-level AI may be far in the future, there are a number of important questions which we can try to address today and may have implications for contemporary decisions. For example:

  • What should we believe about timelines for AI development?
  • How rapid is the development of AI likely to be near human-level? How much advance notice should we expect to have of disruptive change?
  • What are the likely economic impacts of human-level AI?
  • Which paths to AI should be considered plausible or likely?
  • Will human-level AI tend to pursue particular goals, and if so what kinds of goals?
  • Can we say anything meaningful about the impact of contemporary choices on long-term outcomes?

Today, public discussion on these issues appears to be highly fragmented and of limited credibility. More credible and clearly communicated views on these issues might help improve estimates of the social returns to AI investment, identify neglected research areas, improve policy, or productively channel public interest in AI.

The goal of the project is to clearly present and organize the considerations which inform contemporary views on these and related issues, to identify and explore disagreements, and to assemble whatever empirical evidence is relevant.

The project is provisionally organized as a collection of posts concerning particular issues or bodies of evidence, describing what is known and attempting to synthesize a reasonable view in light of available evidence. These posts are intended to be continuously revised in light of outstanding disagreements and to make explicit reference to those disagreements.

AI Impacts contributors

Research

Katja Grace

Katja founded AI Impacts, where she is the Lead Researcher. She started doing this because she wanted to know what would happen with AI, and thought other people might too. She continues because she thinks it’s one of the most important research projects at the moment. Her background is in philosophy, economics, and human ecology, with particular interests in anthropic reasoning, artificial intelligence risk, and game theory. She blogs at world spirit sock puppet.

Rick Korzekwa

Rick is the Director at AI Impacts, where he started as a researcher in 2019. He splits his time between running the organization and doing research. His current research interests are analyzing AI progress in the context of human performance, learning from the past about how we can confront big problems that require foresight, and figuring out how technological progress works, especially around very large advances. Areas where he has more enthusiasm than expertise include game theory, ethics, and AI alignment. Outside of work, he enjoys competitive cycling, tinkering, and tabletop gaming. He holds a PhD in physics from the University of Texas at Austin.

Elizabeth Santos

Elizabeth is the Operations Lead and does some research. She worked in renewable and sustainable energy before joining AI Impacts. In her spare time she likes to surf, read, and walk with her dog.

Zach Stein-Perlman

Zach’s research interests include narrow AI capabilities and their strategic implications, timelines forecasting, how relevant actors think about AI and how they could better coordinate, and macrostrategy. His background is mostly in philosophy, math, and political science. He also likes cats, Shakespeare, chocolate, fantasy novels, and social deduction games.

Aysja Johnson

Aysja is a research analyst at AI Impacts. In general, she likes thinking about systems that do meaningful amounts of information processing, and how they do such things. One thing in particular that she would like to understand is how intelligence works and what we can extrapolate from current intelligent systems to future ones. Her research is focused on such questions. She knows most about cognitive science and neuroscience by training and knows about biology and computer science by curiosity. She also really likes dogs, rainy days, and peppermint tea.

Harlan Stewart

Harlan is a research assistant at AI Impacts. He is curious about perceptions of AI, the inputs that go into making AI, and progress towards functionally simulating biological brains. In his free time, he likes to play board games and read science fiction. Harlan has a background in mathematics and education.

Support

Justis Mills

Justis Mills studied Philosophy at New College of Florida. His main interests are Effective Altruism, Homestuck, Super Smash Bros, and writing fiction. You can find some of the last of these, and other miscellanea, here.

Jimmy Rintjema

Jimmy Rintjema is a freelance contractor who specializes in providing support for startups and small companies. He is especially interested in helping organizations that study Existential Risk and Artificial Intelligence safety. When he is not glued to his computer, Jimmy enjoys playing soccer and car camping. He resides in Ontario, Canada.

Past contributors

Paul Christiano

John Salvatier

Ben Hoffman

Stephanie Zolayvar

Tegan McCaslin

Connor Flexman

Finan Adamson

Michael Wulfsohn

Ronja Lutz

Ronny Fernandez

Daniel Kokotajlo

Asya Bergal