works
Stefan Torges Center on long-term risk: 2021 plans & 2020 review online The Center on Long-Term Risk (CLR), originating from the Effective Altruism Foundation and the Foundational Research Institute in 2020, aims to develop a global community in reducing existential risks of catastrophic events. CLR, based in London, covers its plans for 2021 and provides a review of its 2020 activities. In 2021, CLR plans to focus on areas such as cooperation, conflict, transformative artificial intelligence (TAI), and malevolence. In 2020, CLR initiated work on long-term risks from malevolent actors and increased its research, grantmaking, and community-building. They also hired six people for their research team and made three grants for helping junior researchers. They ran a summer research fellowship, hosted a series of talks, and published 11 research papers. Furthermore, CLR mentions its financial and organizational aspects, detailing its financial status and how to contribute towards their mandate. – AI-generated abstract.

Center on long-term risk: 2021 plans & 2020 review

Stefan Torges

Effective Altruism Forum, December 8, 2020

Abstract

The Center on Long-Term Risk (CLR), originating from the Effective Altruism Foundation and the Foundational Research Institute in 2020, aims to develop a global community in reducing existential risks of catastrophic events. CLR, based in London, covers its plans for 2021 and provides a review of its 2020 activities. In 2021, CLR plans to focus on areas such as cooperation, conflict, transformative artificial intelligence (TAI), and malevolence. In 2020, CLR initiated work on long-term risks from malevolent actors and increased its research, grantmaking, and community-building. They also hired six people for their research team and made three grants for helping junior researchers. They ran a summer research fellowship, hosted a series of talks, and published 11 research papers. Furthermore, CLR mentions its financial and organizational aspects, detailing its financial status and how to contribute towards their mandate. – AI-generated abstract.