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Expert opinions on AI Risk
Sourced quotes, claims, policy proposals and stances on AI Risk from AI researchers, executives and policymakers.
738 sourced quotes · 10 policy proposals and claims
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AI might become conscious
91 opinions
For (60)Shelly KaganClark Professor of Philosophy at Yale University, specializing in ethics and moral philosophy.votes For and says:I think we’ve got the beginnings of a pretty good story, because we can already build machines that can represent environments. [...] If that’s what you mean by consciousness—having beliefs, having desires, being able to report what those beliefs and...
more AI Verified source (Oct 11, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Abstain (14)Ulysse KlatzmannPostdoctoral researcher in computational neuroscience at CHU Sainte-Justine and Université de Montréal, studying consciousness and artificial intelligence.abstains and says:“I would be surprised if current AI models develop consciousness,” he said, “but we can’t entirely rule it out.”
AI Verified source (Aug 26, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Against (18)Joseph E. LeDouxAmerican neuroscientist and NYU professor; director of the Emotional Brain Institute.votes Against and says:Personally, I do not believe that AI can be conscious, and below I explain why.
AI Verified source (Sep 9, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
AI labs should conduct risk assessments before high-stakes internal deployment of frontier models
36 opinions
For (36)Reflection AIAI research company developing open-weight frontier models and publishing an Open Safety Framework.votes For and says:Internal use: The same systemic-risk assessment applies to internal use of frontier models, including research, operational systems, and internal products. Internal deployment is assessed against the same capability thresholds and safeguards as pre-r...
more AI Verified source (Oct 8, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
For (7)Cygnux LabsIndependent AI safety research lab and think tank focused on making autonomous AI systems verifiable, accountable, and safer to trust.votes For and says:
Physicists faced a version of this problem in the 1950s. No single lab could afford the machine they needed, so they pooled resources and built one together, with shared data and shared credit. This piece sketches what the same move could look like f...
more Unverifiable source (Oct 6, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Against (11)Bernie SandersU.S. Senator from Vermontvotes Against and says:It is irresponsible for society to allow them to move forward and make these products even more advanced. That’s why I am introducing legislation to immediately pause the development of increasingly powerful AI and ban the creation of systems that hu...
more AI Verified source (Sep 3, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
AGI could quickly lead to superintelligence
74 opinions
For (64)Ben GoertzelSingularityNET founder; AGI researchervotes For and says:For a long time many of us thought of RSI as the way AGI turns into superintelligence. [...] I was advocating what I called a semi-hard takeoff: a period where the self-improvement was real but not that fast, followed by a point -- once the AGI fully...
more AI Verified source (Oct 5, 2026) 1 of 2DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Against (10)votes Against and says:I do not think this will happen. I don’t think that automating AI R&D will rapidly produce domain-general superintelligence. I don’t think that a data centre of geniuses, largely separated from the rest of the economy, will figure out how to cure Alz...
more AI Verified source (Sep 10, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
For (51)Vinod KhoslaVenture capitalist; Khosla Ventures foundervotes For and says:
The most interesting risk in AI is not the OpenAI and Anthropic models. It's open-source models. They're way more dangerous because they can't be monitored.
AI Verified source (Oct 1, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Abstain (3)Daniel CommeyAuthor of a 2026 game-theoretic study of open-weight AI release policy.abstains and says:Restricting access to a dual-use AI model is precautionary only if it delays harmful actors more than defenders. That condition varies across actors: a state agency or organized criminal group may obtain a substitute through theft, distillation, inte...
more AI Verified source (Jul 24, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Against (54)Marco ArgentiChief Information Officer of Goldman Sachs, speaking publicly on safeguards for open-weight AI models.votes Against and says:If safeguards are properly followed, businesses, including banks, should have enough guarantees to essentially run any model, regardless of where they come from.
AI Verified source (Sep 8, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
AI alignment is solvable
76 opinions
For (34)Jensen HuangNvidia cofounder and CEOvotes For and says:I believe it’s an engineering problem ... and we all need to hope that’s an engineering problem. If it’s not an engineering problem, it’s not solvable.
AI Verified source (Sep 29, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Abstain (9)Dan SelsamOpenAI researcher and foundational contributor to OpenAI o1; previously worked on the Lean Theorem Prover at Microsoft Research.abstains and says:Many AI researchers grant these concerns and recognize that the hard version of the alignment problem is unsolved; however, they generally believe that the better models of the future will help solve it. I fear we may already be near the point where ...
more AI Verified source (Sep 14, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Against (34)Kai ChenResearch lead on OpenAI's alignment team.votes Against and says:We don't believe the AI industry has solved alignment and monitoring to a sufficient degree to responsibly scale at maximum speed.
Unverifiable source (Sep 16, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
For (80)Jason McEwenInterim Chief Scientist and Mission Director for Fundamental Research in AI at the Alan Turing Institute; Professor at University College London.votes For and says:
The scientific work now is to ensure reasoning of powerful AI models remains observable as they become more capable, or to build the tools to read it where it is not, and to verify that complete AI systems, not just the models inside them, can be rel...
more AI Verified source (Sep 23, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Abstain (1)Reid HoffmanLinkedIn co-founder, venture capitalist, author of Superagencyabstains and says:We have a very natural instinct to say: we want as much interpretability as possible. One of the sci-fi worry cases is that agents start speaking in languages to each other that we don't understand. [...] I bet there are ways to define boundaries tha...
more Unverifiable source (Jan 5, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Against (6)Jessica NewmanResearch fellow at UC Berkeley CLTCvotes Against and says:Explainable AI (XAI) is often offered as the answer to the black box problem and is broadly defined as “machine learning techniques that make it possible for human users to understand, appropriately trust, and effectively manage AI.” Around the world...
more Unverifiable source (May 19, 2021)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
For (171)Patricia FahyNew York State Senator for the 46th District and sponsor of the 2026 TERMINATOR Act on frontier-AI safety oversight.votes For and says:
Before, or concurrently with, deploying a new frontier model or a substantially modified version of an existing frontier model, a large frontier developer shall include in the transparency report required by paragraph (a) of this subdivision, summari...
more AI Verified source (Sep 18, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Against (13)Kent WalkerGoogle President of Global Affairsvotes Against and says:For the most advanced frontier AI models, an independent, federally overseen, industry-backed organization could set safety standards and verify independent, voluntary audits, similar to how other critical sectors are managed.
AI Verified source (Jun 25, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
For (18)Jamie JoyceCalifornia congressional candidate and author of the MAD Act, a proposed federal AI-governance framework.votes For and says:
The term “open-weight AI model” means an AI model for which the model weights are made publicly available without restriction on access. [...] “meaningful uplift” means specific operational assistance that would materially advance an adversary’s CBRN...
more Unverifiable source (Aug 27, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.Against (11)Andrew NgBaidu; Stanford CS faculty; founded Coursera and Google Brainvotes Against and says:They tried to pass laws to stifle [free open-source AI software]. ... After that narrative lost credibility, and our government no longer believes that, thank God, the same people said, “Oh, AI could create bioweapons.” After the RAND and other studi...
more AI Verified source (Aug 5, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.