Editor’s note: This article was published under our former name, The Open Philanthropy Project. Some content may be outdated. You can see our latest writing here. Holden Karnofsky is a co-founder and the former CEO of Open Philanthropy. He left Open Philanthropy in April 2024. One of our core values is sharing what we’re...
Editor’s note: This article was published under our former name, The Open Philanthropy Project. Some content may be outdated. You can see our latest writing here. Holden Karnofsky is a co-founder and the former CEO of Open Philanthropy. He left Open Philanthropy in April 2024. Philanthropy – especially hits-based philanthropy – is driven by...
Earlier this week, Google Research (in collaboration with scientists at OpenAI, Stanford and Berkeley) released Concrete Problems in AI Safety, which outlines five technical problems related to accident risk in AI systems. Four of the authors are friends and technical advisors of the Open Philanthropy Project. We’re very excited about...
Ben Soskis, a consultant who has been working with us as part of our History of Philanthropy project, recently finished a case study on the founding and growth of the Center for Global Development (CGD), a think tank that conducts research on and promotes improvements to rich-world policies that affect...
Suzanne Kahn, a consultant who has been working with us as part of our History of Philanthropy project, recently finished a case study on the founding and growth of the Center on Budget and Policy Priorities (CBPP), a well-regarded D.C. think tank that focuses on tax and budget policy with...
We’re planning to make potential risks from advanced artificial intelligence a major priority in 2016. A future post will discuss why; this post gives some background. Summary: I first give our definition of “transformative artificial intelligence,” our term for a type of potential advanced artificial intelligence we find particularly relevant...
It seems to me that AI and machine learning research is currently on a very short list of the most dynamic, unpredictable, and potentially world-changing areas of science. It seems to me that AI and machine learning research is currently on a very short list of the most dynamic, unpredictable, and potentially world-changing areas of science.1 In particular, I believe that this research may lead eventually to the development of transformative AI, which we have roughly and conceptually defined as AI that precipitates a transition comparable to (or more significant than) the agricultural or industrial revolution.
This post compares our progress with the goals we set forth a year ago, and lays out our plans for the coming year. In brief: Our 2015 goals revolved mostly around building our staff capacity, and particularly around hiring. Broadly speaking, we mostly accomplished our goals, though we significantly scaled...
Editor’s note: This article was published under our former name, The Open Philanthropy Project. Some content may be outdated. You can see our latest writing here. Holden Karnofsky is a co-founder and the former CEO of Open Philanthropy. He left Open Philanthropy in April 2024. One of our core values is our tolerance for...
When I started as the Open Philanthropy Project’s Farm Animal Welfare Program Officer in October, I decided to prioritize investigating opportunities to speed up the corporate transition away from using eggs from caged hens. Based on that investigation, the Open Philanthropy Project recommended three grants, totaling $2.5 million over two...