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© 2024 AI Safety Fundamentals: Governance
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Listen to resources from the AI Safety Fundamentals: Governance course!
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This post summarizes the way I currently think about career choice for longtermists. I have put much less time into thinking about this than 80,000 Hours, but I think it’s valuable for there to be multiple perspectives on this topic out there.Edited to add: see below for why I chose to focus on longtermism in this post.While the jobs I list overlap heavily with the jobs 80,000 Hours lists, I organize them and conceptualize them differently. 80,000 Hours tends to emphasize “paths” to particula...
This is a quickly written post listing opportunities for people to apply for funding from funders that are part of the EA community. … ---First published: October 26th, 2021 Source: https://forum.effectivealtruism.org/posts/DqwxrdyQxcMQ8P2rD/list-of-ea-funding-opportunities--- Narrated by TYPE III AUDIO.A podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
Expertise in China and its relations with the world might be critical in tackling some of the world’s most pressing problems. In particular, China’s relationship with the US is arguably the most important bilateral relationship in the world, with these two countries collectively accounting for over 40% of global GDP.1 These considerations led us to publish a guide to improving China–Western coordination on global catastrophic risks and other key problems in 2018. Since then, we have seen an i...
(Last updated August 31, 2022) Summary and Introduction One potential way to improve the impacts of AI is helping various actors figure out good AI strategies—that is, good high-level plans focused on AI. To support people who are interested in that, we compile some relevant career i ---Source: https://aisafetyfundamentals.com/governance-blog/ai-strategy-careers--- Narrated by TYPE III AUDIO.A podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
People who want to improve the trajectory of AI sometimes think their options for object-level work are (i) technical safety work and (ii) non-technical governance work. But that list misses things; another group of arguably promising options is technical work in AI governance, i.e. technical work that mainly boosts AI governance interventions. This post provides a brief overview of some ways to do this work—what they are, why they might be valuable, and what you can do if you’re interested. ...
I carried out a short project to better understand talent needs in AI governance. This post reports on my findings.How this post could be helpful:If you’re trying to upskill in AI governance, this post could help you to understand the kinds of work and skills that are in demand.If you’re a field-builder trying to find or upskill people to work in AI governance, this post could help you to understand what talent search/development efforts are especially valuable.Source:https://aisafetyfundamen...
In the fall of 2023, the US Bipartisan Senate AI Working Group held insight forms with global leaders. Participants included the leaders of major AI labs, tech companies, major organizations adopting and implementing AI throughout the wider economy, union leaders, academics, advocacy groups, and civil society organizations. This document, released on March 15, 2024, is the culmination of those discussions. It provides a roadmap that US policy is likely to follow as the US Senate begins to cre...
This paper explores the under-discussed strategies of adaptation and resilience to mitigate the risks of advanced AI systems. The authors present arguments supporting the need for societal AI adaptation, create a framework for adaptation, offer examples of adapting to AI risks, outline the concept of resilience, and provide concrete recommendations for policymakers.Original text: https://drive.google.com/file/d/1k3uqK0dR9hVyG20-eBkR75_eYP2efolS/view?usp=sharing Author(s): Jamie Bernardi,...
Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. Further progress in AI development could lead to capabilities that pose extreme risks, such as offensive cyber capabilities or strong manipulation skills. We explain why model evaluation is critical for addressing extreme risks. Developers must be able to identify dangerous capabilities (through “dangerous capability evaluations”) and the propensity of models to app...
If governments could regulate the large-scale use of “AI chips,” that would likely enable governments to govern frontier AI development—to decide who does it and under what rules.In this article, we will use the term “AI chips” to refer to cutting-edge, AI-specialized computer chips (such as NVIDIA’s A100 and H100 or Google’s TPUv4).Frontier AI models like GPT-4 are already trained using tens of thousands of AI chips, and trends suggest that more advanced AI will require even more computing p...
About two years ago, I wrote that “it’s difficult to know which ‘intermediate goals’ [e.g. policy goals] we could pursue that, if achieved, would clearly increase the odds of eventual good outcomes from transformative AI.” Much has changed since then, and in this post I give an update on 12 ideas for US policy goals[1]Many […] The original text contained 7 footnotes which were omitted from this narration.---Source: https://www.openphilanthropy.org/research/12-tentative-ideas-for-us-ai-po...
If you fear that someone will build a machine that will seize control of the world and annihilate humanity, then one kind of response is to try to build further machines that will seize control of the world even earlier without destroying it, forestalling the ruinous machine’s conquest. An alternative or complementary kind of response is to try to avert such machines being built at all, at least while the degree of their apocalyptic tendencies is ambiguous. The latter approach seems to m...
I’ve been writing about tangible things we can do today to help the most important century go well. Previously, I wrote about helpful messages to spread and how to help via full-time work.This piece is about what major AI companies can do (and not do) to be helpful. By “major AI companies,” I mean the sorts of AI companies that are advancing the state of the art, and/or could play a major role in how very powerful AI systems end up getting used.1This piece could be useful to people who work a...
Our Charter describes the principles we use to execute on OpenAI’s mission. ---Source: https://openai.com/charter--- Narrated by TYPE III AUDIO.A podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
We’ve created OpenAI LP, a new “capped-profit” company that allows us to rapidly increase our investments in compute and talent while including checks and balances to actualize our mission. The original text contained 1 footnote which was omitted from this narration.---Source: https://openai.com/blog/openai-lp--- Narrated by TYPE III AUDIO.A podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. International collaborations can unlock AI’s ability to further sustainable development, and coordination of regulatory efforts can reduce obstacles to innovation and the spread of benefits. Conversely, the potential dangerous capabilities of powerful and general-purpose AI systems create global externalities in their development and deployment, and international efforts to further ...
This document from the OECD is split into two sections: principles for responsible stewardship of trustworthy AI & national policies and international co-operation for trustworthy AI. 43 governments around the world have agreed to adhere to the document. While originally written in 2019, updates were made in 2024 which are reflected in this version.Original text: https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449 Author(s): The Organization for Economic Cooperation...
This summary of UNESCO's Recommendation on the Ethics of AI outlines four core values, ten core principles, and eleven actionable policies for responsible AI governance. The full text was agreed to by all 193 member states of the United Nations.Original text: https://unesdoc.unesco.org/ark:/48223/pf0000385082 Author(s): The United Nations Educational, Scientific, and Cultural OrganziationA podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
This statement was released by the UK Government as part of their Global AI Safety Summit from November 2023. It notes that frontier models pose unique risks and calls for international cooperation, finding that "many risks arising from AI are inherently international in nature, and so are best addressed through international cooperation." It was signed by multiple governments, including the US, EU, India, and China.Original text: https://www.gov.uk/government/publications/ai-safety-summ...
This report by the UK's Department for Science, Technology, and Innovation outlines a regulatory framework for UK AI policy. Per the report, "AI is helping to make our jobs safer and more satisfying, conserve our wildlife and fight climate change, and make our public services more efficient. Not only do we need to plan for the capabilities and uses of the AI systems we have today, but we must also prepare for a near future where the most powerful systems are broadly accessible and significant...
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