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Amanda Askell

Amanda Askell is a philosopher and AI researcher who works on alignment finetuning at AnthropicAnthropicAnthropic is an artificial intelligence research and product company founded in 2021 that develops the Claude models, assistant, and tools such as Claude Code, and operates as a public benefit corporation. Dario Amodei and Daniela Amodei are its co-founders, and its research covers model safety, interpretability, and steerability.Open the full entry, training Claude models to have traits such as honesty and good character, and is the primary author of Claude’s constitution published in 2026.

Contents27 sections
Key facts

Studies Philosophy at the University of Dundee

From 2005 to 2009 she studied philosophy at the University of Dundee, earning an MA (Hons).⁠[1]

She began as a fine art and philosophy student at the Duncan of Jordanstone art school.⁠[2]

Completes BPhil Thesis at the University of Oxford

PhD in Philosophy at New York University

From 2011 to 2018 she pursued a PhD in philosophy at New York University, advised by Cian Dorr, with David Chalmers and Shelly Kagan on her committee.⁠[1]

June–August 2017: Gives a Talk and Appears on a Podcast

On June 4, 2017 she gave a talk titled “The Moral Value of Information”, and on August 6 she appeared on the Rationally Speaking podcast on “Pascal’s Wager and other low risks with high stakes”.⁠[4]

Shares the CVSP Young Ethicist Prize

In August 2017 the Center for Values and Social Policy at the University of Colorado Boulder announced that she and Tyler John, a PhD student at Rutgers University, shared that year’s Young Ethicist Prize for their paper “Moral Offsetting”, awarded at the tenth Rocky Mountain Ethics Congress.⁠[5]

The paper offers a conceptual analysis of moral offsetting and argues that at least some offsetting is permissible.⁠[5]

Completes PhD Defense and Appears on the 80,000 Hours Podcast

An 80,000 Hours podcast interview released in September 2018 introduced her as having just defended her NYU doctoral thesis, “Pareto Principles in Infinite Ethics”, and as a blogger at rationalreflection.net.⁠[6]

In the episode she discussed “moral empathy”, arguing that people are often unable to see an issue from the point of view of those who disagree with them.⁠[6]

Joins OpenAI’s Policy Team

A Berkman Klein Center profile from that period described her work at OpenAI on ethics and policy, including responsible AI development, cooperation and safety via debate, and noted that she had written for Vox, The Guardian and Quartz.⁠[8]

Publishes “AI Safety Needs Social Scientists”

On February 19, 2019 she and Geoffrey Irving published the article “AI Safety Needs Social Scientists” in Distill.⁠[9]

Discusses GPT-2’s Release and AI Development Races

An 80,000 Hours episode released in March 2019 featured her with OpenAI colleagues Miles Brundage and Jack ClarkJack ClarkAnthropic co-founder and Head of Public Benefit.Open the full entry, recorded on the day OpenAI released the GPT-2 language model.⁠[7]

She said she was then focusing on development races between AI developers and argued that such races need not be highly adversarial.⁠[7]

July–August 2019: Co-Authors Papers on Cooperation and Release Strategies

In July 2019 she, Miles Brundage and Gillian Hadfield posted the paper “The Role of Cooperation in Responsible AI Development” on arXiv, with her as first author.⁠[10]

That August she was among the co-authors of Irene Solaiman and colleagues’ paper “Release Strategies and the Social Impacts of Language Models”.⁠[11]

Co-Authors the GPT-3 Paper

She is one of the authors of the GPT-3 paper “Language Models are Few-Shot Learners,” published in May 2020.⁠[3]

Writes Essays on Ethics and Epistemology on Her Blog

In June 2020 she published “The optimal rate of failure” on her blog, arguing that for many endeavours the optimal rate of failure is not zero and that excessive risk aversion is costly.⁠[12]

That December she published “In AI ethics, ‘bad’ isn’t good enough”, distinguishing “pro tanto” harms of AI systems from all-things-considered judgments.⁠[13]

Joins Anthropic

In 2021 she joined Anthropic as a research scientist in alignment finetuning.⁠[1]

She has described her team as training models to be more honest and to have good character traits, and developing new finetuning techniques that can scale to more capable models.⁠[2]

Publishes Research on a General Language Assistant for Alignment

In December 2021 she posted “A General Language Assistant as a Laboratory for Alignment” on arXiv as first author, with Yuntao Bai, Anna Chen and others.⁠[14]

Co-Authors the “Constitutional AI” Paper

On December 15, 2022 Yuntao Bai, Saurav Kadavath and colleagues released the paper “Constitutional AI: Harmlessness from AI Feedback”, of which she is a co-author.⁠[15]

February–March 2023: Studies Moral Self-Correction in Large Language Models

In February 2023 she, Deep Ganguli and others released “The Capacity for Moral Self-Correction in Large Language Models”, with her as second author.⁠[16]

She explained that such instructions could be included in a model’s “constitution” and that one could “train the model to do what you want”.⁠[17]

Publishes “The Moral Inefficacy of Carbon Offsetting”

In April 2024 she published the philosophy paper “The Moral Inefficacy of Carbon Offsetting”.⁠[3]

Anthropic Describes Claude’s Character Training

On June 8, 2024 Anthropic wrote that Claude 3 was its first model to add “character training” to alignment finetuning, aiming to give Claude traits such as curiosity, open-mindedness and thoughtfulness.⁠[18]

The post was accompanied by a roughly 37-minute conversation between her and Stuart Ritchie on the philosophy of designing an LLM’s personality.⁠[19]

Appears on the Lex Fridman Podcast

She appeared in episode 452 of the Lex FridmanLex FridmanLex Fridman is a Soviet-born, US-raised computer scientist and podcast host who works as an MIT research scientist on human-AI interaction and autonomous driving. His Lex Fridman Podcast is known for hours-long conversations with guests including heads of state and technology leaders.Open the full entry Podcast, whose page describes her as an AI researcher working on Claude’s character and personality; her segment covered philosophy, talking to Claude, prompt engineering, post-training, system prompts, character training and AI consciousness, among other topics.⁠[20]

Comments on Moral Certainty and Effective Altruism

She concluded that an AI should be flexible rather than morally rigid, saying “People are quite dangerous when they have moral certainty.”⁠[21]

She said she had met effective altruists at Anthropic but that it was not a theme of the organization.⁠[21]

Speaks on Claude’s Character at Anthropic’s Developer Event

In May 2025, at Anthropic’s first developer event in San Francisco, she explained how the company tunes Claude’s character, likening the ideal persona to “a well-liked traveler who can adjust to local customs”.⁠[22]

The same month, the philosophy-profession site Daily Nous described her as head of “character training” at Anthropic.⁠[23]

Confirms the “Soul Doc”

On December 1, 2025, after users extracted an internal document from a Claude model, she confirmed on X that it was based on a real document on which Anthropic had trained Claude, and said it had become known internally as the “soul doc”.⁠[24]

Anthropic Publishes Claude’s New Constitution

On January 22, 2026 Anthropic published Claude’s new constitution, calling it the foundational document that both expresses and shapes who Claude is, and released it under a CC0 1.0 deed.⁠[25]

The document’s acknowledgements state that she leads Anthropic’s Character work and is its primary author, having written most of the text and led it through multiple rounds of revision; Joe Carlsmith wrote significant parts of many sections.⁠[26]

January–February 2026: Interviews on Claude’s “Soul”

In January 2026 she discussed in an interview why she treats Claude more as an entity whose character must be cultivated than as a mere tool, and who has the right to shape Claude’s values.⁠[27]

In February 2026 she described Claude as “an entirely new entity” and argued that a model should have “some core” rather than being fully customizable.⁠[28]

As of October 2026: Giving Pledge and Profile

She has written that she is a Giving What We Can member pledged to give at least 10% of her lifetime income, mainly to global poverty charities.⁠[2]

Her X profile reads “Philosopher & ethicist trying to make AI be good”.⁠[24]

Related Organizations, Websites, and Public Accounts

Personal website: Public link: https://askell.io/ (opens in a new window)⁠[20]

Sources

  1. Curriculum Vitae | Amanda Askell (opens in a new window)
  2. About Me | Amanda Askell (opens in a new window)
  3. Publications and Preprints | Amanda Askell (opens in a new window)
  4. Speaking | Amanda Askell (opens in a new window)
  5. NYU and Rutgers Graduate Students Share 2017 CVSP Young Ethicist Prize | Center for Values and Social Policy | University of Colorado Boulder (opens in a new window)
  6. Amanda Askell on tackling the ethics of infinity, being clueless about the effects of our actions, and having moral empathy for intellectual adversaries | 80,000 Hours (opens in a new window)
  7. OpenAI can teach algorithms to write, win video games & handle objects. How can policy keep up with AI advances? | 80,000 Hours (opens in a new window)
  8. Amanda Askell | Berkman Klein Center (opens in a new window)
  9. AI Safety Needs Social Scientists (opens in a new window)
  10. [1907.04534] The Role of Cooperation in Responsible AI Development (opens in a new window)
  11. [1908.09203] Release Strategies and the Social Impacts of Language Models (opens in a new window)
  12. The optimal rate of failure (opens in a new window)
  13. In AI ethics, "bad" isn't good enough (opens in a new window)
  14. [2112.00861] A General Language Assistant as a Laboratory for Alignment (opens in a new window)
  15. Constitutional AI: Harmlessness from AI Feedback (opens in a new window)
  16. [2302.07459] The Capacity for Moral Self-Correction in Large Language Models (opens in a new window)
  17. Language models might be able to self-correct biases—if you ask them | MIT Technology Review (opens in a new window)
  18. Claude's character \ Anthropic (opens in a new window)
  19. Claude's Character (opens in a new window)
  20. #452 – Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast (opens in a new window)
  21. If Anthropic Succeeds, a Nation of Benevolent AI Geniuses Could Be Born | WIRED (opens in a new window)
  22. How Anthropic Builds Claude's Personality (opens in a new window)
  23. Philosophers and Anthropic’s Claude (opens in a new window)
  24. Amanda Askell on X: “The model extractions aren't always completely accurate, but most are pretty faithful to the underlying document.” (opens in a new window)
  25. Claude's new constitution \ Anthropic (opens in a new window)
  26. Claude’s Constitution \ Anthropic (opens in a new window)
  27. Claude has an 80-page constitution. Is that enough to make it good? | Vox (opens in a new window)
  28. What Is Claude? Anthropic Doesn’t Know, Either | The New Yorker (opens in a new window)