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description= Center for AI Safety. Reducing societal-scale risks from AI by advancing safety research, building the field of AI safety researchers, and promoting safety standards.;
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center for ai safety cais work work overview research field building and advocacy projects to reduce ai risk research field building projects compute cluster about about about us newsroom media ai risk resources resources cais blog cais publications 2024 impact report 2023 impact report contact careers donate about about newsroom media our work work overview cais research field building projects compute cluster resources cais blog ai safety newsletter 2024 impact report 2023 impact report ai risk contact careers donate careers donate reducing societal scale risks from ai the center for ai safety cais pronounced case is a san francisco based research and field building nonprofit we believe that artificial intelligence ai has the potential to profoundly benefit the world provided that we can develop and use it safely view our work our mission in contrast to the dramatic progress in ai many basic problems in ai safety have yet to be solved our mission is to reduce societal scale risks associated with ai by conducting safety research building the field of ai safety researchers and advocating for safety standards featured cais work ai safety field building featured ml safety infrastructure ai and society fellowship applications close march 24 a three month research program that investigates the societal impacts of advanced ai and the institutions and policies that could help societies respond well learn more philosophy fellowship ai safety ethics society training 1000 future ai safety leaders the course offers a comprehensive introduction to how current ai systems work their societal scale risks and how to manage them learn more cais compute cluster compute cluster enabling ml safety research at scale to support progress and innovation in ai safety we offer researchers free access to our compute cluster which can run and train large scale ai systems learn more see all work dan hendrycks director center for ai safety phd computer science uc berkeley preventing extreme risks from ai requires more than just technical work so cais takes a multidisciplinary approach working across academic disciplines public and private entities and with the general public risks from ai artificial intelligence ai possesses the potential to benefit and advance society like any other powerful technology ai also carries inherent risks including some which are potentially catastrophic current ai systems current systems already can pass the bar exam write code fold proteins and even explain humor like any other powerful technology ai also carries inherent risks including some which are potentially catastrophic ai safety as ai systems become more advanced and embedded in society it becomes increasingly important to address and mitigate these risks by prioritizing the development of safe and responsible ai practices we can unlock the full potential of this technology for the benefit of humanity ai risks overview our research we conduct impactful research aimed at improving the safety of ai systems technical research at the center for ai safety our research exclusively focuses on mitigating societal scale risks posed by ai as a technical research laboratory we create foundational benchmarks and methods which lay the groundwork for the scientific community to address these technical challenges we ensure our work is public and accessible we publish in top ml conferences and always release our datasets and code conceptual research in addition to our technical research we also explore the less formalized aspects of ai safety we pursue conceptual research that examines ai safety from a multidisciplinary perspective incorporating insights from safety engineering complex systems international relations philosophy and other fields through our conceptual research we create frameworks that aid in understanding the current technical challenges and publish papers which provide insight into the societal risks posed by future ai systems cais research learn more about cais frequently asked questions we have compiled a list of frequently asked questions to help you find the answers you need quickly and easily what does cais do cais mission is to reduce societal scale risks from ai we do this through research and field building where is cais located cais main offices are located in san francisco california what does cais mean by field building by field building we mean expanding the research field of ai safety by providing funding research infrastructure and educational resources our goal is to create a thriving research ecosystem that will drive progress towards safe ai you can see examples of our projects on our field building page how can i support cais and get involved cais is always looking for value driven talented individuals to join our team you can also make a tax deductible donation to cais to help us maintain our independent focus on ai safety here how does cais choose which projects it works on our work is driven by three main pillars advancing safety research building the safety research community and promoting safety standards we understand that technical work will not solve ai safety alone and prioritize having a real world positive impact you can see more on our mission page where can i learn more about the research cais is doing as a technical research laboratory cais develops foundational benchmarks and methods which concretize the problem and progress towards technical solutions you can see examples of our work on our research page keep up to date with ai safety email address ai safety newsletter ai frontiers ml safety newsletter thank you your submission has been received sorry something went wrong while submitting the form want to help reduce risks from ai donate to support our mission learn more about ai frontiers no technical background required cais is an ai safety non profit our mission is to reduce societal scale risks from artificial intelligence our work view all work statement on ai risk field building cais research compute cluster philosophy fellowship cais blog newsroom our mission about us annual impact report frequently asked questions learn about ai risk terms of service privacy policy get involved donate cais publications contact us cais media careers general contact safe ai media media safe ai cookies notice this website uses cookies to identify pages that are being used most frequently this helps us analyze data about web page traffic and improve our website we only use this information for the purpose of statistical analysis and then the data is removed from the system we do not and will never sell user data read more about our cookie policy on our privacy policy please contact us if you have any questions 2026 center for ai safety credits website by osborn design works
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