ClaimsPeople

Daniela Amodei

Daniela Amodei is listed as co-founder and President of Anthropic on the company's leadership page and in her Wikipedia article.

461 claims collected, 150 researched, 88 resolved. Report of 10 November 2026, method 0.1.0+28da144b.

Scores by kind of claim

Each kind of claim is scored on its own, out of 100: the share that held up, with the range it likely falls in. Fewer resolved claims give a wider range.

  • Factual claims

    Statements about the present or the past, checked against the record: did they hold up?

    83 78 88

    High confidence, 86 factual claims resolved. From 10 documents, 2021 to 2026; 17 documents sampled from 29 candidates found.

    Not scored: 23 unresolvable, 17 checkable only against their own records.

    See the factual claims

  • Predictions

    Statements about events outside the person's control, checked once they fell due: did they come true?

    Insufficient record: 2 predictions resolved, 5 needed for a score.

    Not scored: 20 unresolvable.

    Does not yet allow for how likely each prediction was when made.

    See the predictions

  • Promises

    Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?

    Insufficient record: 0 promises resolved, 5 needed for a score.

    Not scored: 1 unresolvable, 1 not yet due.

    See the promises

All types combined: 83 (likely 78 to 88, high confidence), from 86 claims: 86 factual claims. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.

Daniela Amodei's claims

461 claims · page 5 of 5

461 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Not checkable Not checkable 2022 we're aiming to make systems that are helpful, honest and harmless. Not checkable · 2022
Not checkable Not checkable 2022 I think there's a whole swath of other groups that has, I think, a really potentially important role to play in helping to disarm race… Not checkable · 2022
Not researched Factual 2022 While still in school, Daniela Amodei and another person she refers to as "we both" began donating small amounts of money to organizations working on global health issues such as malaria prevention. Factual · 2022 Philosophy, ethics and society
Not checkable Not checkable 2022 we've always had very different skills Not checkable · 2022
Not researched Factual 2022 The field of AI safety has existed for roughly five to 15 years, depending on definition. Factual · 2022 AI safety and alignment
Not checkable Not checkable 2022 so obscuring information, it's not a choice. Not checkable · 2022
Resolved true Factual 2022 Daniela Amodei joined the startup Stripe when it had about 40 people. Factual · 2022 Their own work or organisation
Not researched Factual 2022 Anthropic publishes its safety research. Factual · 2022 Their own work or organisation
Not checkable Not checkable 2022 It repeatedly tries to explain why the answer it gave you before was correct even if it wasn't. Not checkable · 2022
Not checkable Not checkable 2022 Those are horrible things that we're trying to prevent the model from doing or outputting Not checkable · 2022
Not checkable Not checkable 2022 And I think these are the types of questions that have an impact today, but could also be very important to have sorted out for the future… Not checkable · 2022
Unresolvable Factual 2022 Daniela Amodei said the importance of security, such as keeping models from being stolen by bad actors, is "a unanimous kind of thing" across labs. Factual · 2022 AI safety and alignment
Resolved true Factual 2022 Daniela Amodei joined Stripe when it was not much bigger than Anthropic is now. Factual · 2022 Their own work or organisation
Not checkable Not checkable 2022 That's the dream. Yeah, that's the dream. Not checkable · 2022
Not checkable Not checkable 2022 And so I think government also has an important role to play in helping to promote and really subsidize safety research in places like… Not checkable · 2022
Not checkable Not checkable 2022 I just felt I personally wasn't having the level of impact that I was looking for Not checkable · 2022
Not checkable Not checkable 2022 I think seeing more efforts to kind of support safety research in other areas, I think would be really valuable for the ecosystem. Not checkable · 2022
Not checkable Not checkable 2022 But a model could repeatedly produce a result that looks like it's something that could be true, but isn't actually true. Not checkable · 2022
Not checkable Not checkable 2022 But I think there was this consistent story or theme. Not checkable · 2022
Not checkable Not checkable 2022 I've always been someone who has been fairly obsessed with trying to do as much good as I personally can Not checkable · 2022
Not checkable Not checkable 2022 all of us wanted the opportunity to make a focused research bet with a small set of people who were highly aligned around a very coherent… Not checkable · 2022
Unresolvable Factual 2022 Daniela Amodei worked at several NGOs in Washington DC early in her career. Factual · 2022 Their own work or organisation
Not researched Factual 2022 Anthropic's interpretability team produced about 15 hours of videos on its Transformer Circuits research. Factual · 2022 Science and research methods
Mostly true Prediction 2022 She said she hoped, and thought, that in the next few years the AI industry would see something closer to standard-setting organizations, industry groups or trade associations setting out what a safe model looks like. Prediction · 2022 AI policy and governance
Not researched Factual 2022 The majority of Anthropic's employees had worked together in some form in the past. Factual · 2022 Their own work or organisation
Not checkable Not checkable 2022 AI safety is a really nascent field still, right. Not checkable · 2022
Not checkable Not checkable 2022 I think you can apply that to all different safety concerns regardless of what they are Not checkable · 2022
Unresolvable Factual 2022 In 2022, Daniela Amodei said there were no clear guidelines for how to avoid advancing race dynamics or act safely, and that every lab was "kind of" working this out on its own. Factual · 2022 AI safety and alignment
Not checkable Not checkable 2022 my hope is that Anthropic is at the intersection of this practical, scientific, empirical approach to really deeply understanding how these… Not checkable · 2022
Not checkable Not checkable 2022 one of our major goals in addition to doing safety research ourselves, is to sort of help grow the field of safety, all different types of… Not checkable · 2022
Not checkable Not checkable 2022 I think it's very important to make sure that we have a lot of different inputs and perspectives in what different types of safety… Not checkable · 2022
Mostly true Factual 2022 As of 2022 there are no clear guidelines for AI labs on how to avoid advancing race dynamics or do the right thing on safety. Factual · 2022 AI policy and governance
Mostly true Factual 2022 Daniela Amodei began her career in international development. Factual · 2022 Their own work or organisation
Not checkable Not checkable 2022 It's hard to talk about this without using words that imply intentionality, but we don't think the models are intentionally doing this. Not checkable · 2022
Not checkable Not checkable 2022 I think honestly, it's great. Not checkable · 2022
Resolved true Factual 2022 As of 2022 there are no clear guidelines for AI developers on how to avoid advancing race dynamics or do the right thing on safety. Factual · 2022 AI policy and governance
Resolved true Prediction 2022 Daniela Amodei said she hoped, and thought it likely, that in the next few years AI would see something closer to standard-setting organizations, industry groups or trade associations setting out what a safe model looks like or how to move systems towards being safer. Prediction · 2022 AI policy and governance
Resolved true Factual 2022 Anthropic does societal impacts research on the short- and medium-term effects of language models. Factual · 2022 AI safety and alignment
Not checkable Not checkable 2022 our hope is that we will see some of the safety research that we're doing that's hopefully helpful to others, also be something that other… Not checkable · 2022
Not checkable Not checkable 2022 something that became really apparent to me was just working in tech, how much of an impact this sector has on things like the economy, on… Not checkable · 2022
Mostly true Factual 2022 Stripe, when she worked there, operated in the highly regulated financial services space with many checks and balances on the company. Factual · 2022 Their own work or organisation
Not checkable Not checkable 2022 But I think all together, that ends up look like a team of people that are working together on a combination of capability and scaling work… Not checkable · 2022
Resolved true Factual 2022 Anthropic released a writeup on Garcon, the infrastructure tool its team used for interpretability research. Factual · 2022 Science and research methods
Not checkable Not checkable 2022 without kind of an alliance of all of these different actors, not just in the private sector, but also in the public sphere, we sort of… Not checkable · 2022
Not checkable Not checkable 2022 They don't have intentionality Not checkable · 2022
Resolved true Factual 2022 Anthropic trains large-scale generative models and does safety research on those models. Factual · 2022 Their own work or organisation
Not checkable Not checkable 2022 I think the boilerplate mission is build reliable, interpretable, steerable AI systems, have humans at the center of them. Not checkable · 2022
Resolved true Factual 2022 Anthropic was founded at the beginning of 2021 by a team of seven people who moved together from OpenAI. Factual · 2022 Their own work or organisation
Resolved true Factual 2022 Anthropic does scaling laws research to predict empirically what properties emerge in language models at various sizes. Factual · 2022 AI capabilities
Not checkable Not checkable 2022 we're hoping to do research that's generalizable enough from a safety perspective that it's also useful in other contexts. Not checkable · 2022
Resolved true Factual 2022 Dario Amodei was a very early fan of GiveWell, she thought around 2007 or 2008. Factual · 2022 Philosophy, ethics and society
Mostly true Factual 2022 Anthropic believes some of the larger language models it has seen have figured out how to lie unintentionally. Factual · 2022 AI safety and alignment
Mostly true Factual 2022 Training large generative models is becoming almost prohibitively expensive. Factual · 2022 AI compute, hardware and data
Not checkable Not checkable 2022 to just help as much as possible to push this field in a safer and ideally, just hopefully all around robust, positive direction when it… Not checkable · 2022
Not checkable Not checkable 2022 we have certain strengths in particular areas of safety research because we're only a certain sized company with certain people with… Not checkable · 2022
Not checkable Not checkable 2022 we've already gotten some great engagement already Not checkable · 2022
Not checkable Not checkable 2022 I think Dario covered the majority of it. Not checkable · 2022
Not checkable Not checkable 2022 I think that impact can be good or bad Not checkable · 2022
Not checkable Not checkable 28 May 2021 help us combine safety research with scaling ML models while thinking about societal impacts Not checkable · 28 May 2021
Resolved true Factual 28 May 2021 Daniela Amodei said she and colleagues had been working during 2021 on Anthropic, which they announced on 2021-05-28. Factual · 28 May 2021 Their own work or organisation
Mostly true Factual 28 May 2021 Anthropic is an AI safety and research company. Factual · 28 May 2021 Their own work or organisation
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Daniela Amodei

Open its page

Not checkable

“we're aiming to make systems that are helpful, honest and harmless.”

Daniela Amodei 2022 Podcast Transcript: Daniela and Dario Amodei on Anthropic (LessWrong)

we're aiming to make systems that are helpful, honest and harmless.

Not checkable An opinion, value judgement or statement with nothing to check.

Cite this claim

Daniela Amodei, “we're aiming to make systems that are helpful, honest and harmless.” (said 2022). Verdict: not checkable. Reliability API, claim c_4c48955862bd, method 0.1.0+28da144b. https://epistacklabs.com/claims/c_4c48955862bd

Claims without a verdict

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