Podcast Summary: The Lawfare Podcast — Scaling Laws: Rapid Response to the Implications of Claude's New Constitution
Date: January 23, 2026
Host: Alan Rosenstein (Lawfare, University of Minnesota)
Guests: Jacob Kraus (Lawfare, Tarbell Fellow), Kevin Fraser (UT Law, Abundance Institute)
Main Topic: The release of Anthropic’s 80-page "Constitution" for its AI model Claude, with analysis of its philosophical, technical, policy, and market implications.
Episode Overview
This special episode of Scaling Laws (a Lawfare + UT Austin venture) dives into Anthropic’s newly published constitution for its Claude AI. The panel explores what this document means in terms of AI governance, ethics, the role of constitutions in AI development, how user and market feedback shape models, and the thorny issue of AI as a potential “moral patient” or conscious being.
Key Discussion Points and Insights
1. What is Claude’s Constitution and What Makes it Noteworthy?
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Document Scope & Purpose:
- The constitution runs 80 pages and around 22,000 words ([03:42]). It serves a dual role:
- Internal: A set of principles, heuristics, and guidelines for training Claude and shaping its "personality".
- External: A public-facing document clarifying Anthropic’s approach to AI alignment and safety.
- Notable: Anthropic’s constitution is more philosophically detailed and transparent compared to other labs (OpenAI, Google).
- The constitution runs 80 pages and around 22,000 words ([03:42]). It serves a dual role:
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Quote:
- “My initial impression of the document was that it was very long...I don’t usually see things that long written by normies, though maybe the idea that anything in this world is written by normies is my first mistake.”
— Alan Rosenstein [03:42]
- “My initial impression of the document was that it was very long...I don’t usually see things that long written by normies, though maybe the idea that anything in this world is written by normies is my first mistake.”
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Background:
- Built on “Constitutional AI” methodology, aiming for a model aligned with human values and safety. The document acknowledges inspiration from a so-called “soul document” referenced previously ([03:42]).
2. Constitutional Analogy: Fitting or Flawed?
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Kevin Fraser’s Take:
- Skeptical of the “constitution” label.
- Constitutions typically connote participatory, foundational legal governance—less clear here since Anthropic authors and enacts it alone.
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Anthropic’s Four Core Values (in order of precedence):
- Broadly safe
- Broadly ethical
- Compliant with Anthropic’s guidelines
- Genuinely helpful
— reminiscent of Asimov’s Laws of Robotics, with hierarchy intentionally designed ([13:36]).
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Quote:
- “To use the word constitution evokes some degree of shared responsibility for both creating and implementing a constitution, and yet...models deployed to the U.S. military ‘wouldn’t necessarily be trained on the same constitution’ according to an Anthropic spokesperson.”
— Kevin Fraser [15:29]
- “To use the word constitution evokes some degree of shared responsibility for both creating and implementing a constitution, and yet...models deployed to the U.S. military ‘wouldn’t necessarily be trained on the same constitution’ according to an Anthropic spokesperson.”
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Concerns:
- Lack of user or societal input (“social contract”) in drafting and revising the constitution ([17:01]).
- “Carve-out” for military use undermines the analogy to state constitutions that apply universally ([16:57]).
3. User Involvement and Market Mechanisms
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Democratic Governance Attempts:
- Experiments like Meta’s user referenda on content rules failed due to low participation ([18:33]).
- Direct “democracy” unlikely to be effective for model alignment.
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Market as Arbiter:
- The market “vibes” are strong drivers: users will choose models matching their values/preferences ([19:40], [22:18]).
- Regionally/customized AI constitutions may emerge (e.g., Saudi Arabia building its own model reflecting local values).
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Quote:
- “A huge reason why I like to use Claude and a lot of other people like to use Claude is because the kind of ergonomics, the vibes are just really, really good.”
— Alan Rosenstein [20:52]
- “A huge reason why I like to use Claude and a lot of other people like to use Claude is because the kind of ergonomics, the vibes are just really, really good.”
4. Anthropic’s Constitution: Western Bias and Transparency
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WEIRD Values:
- Claude’s constitution is explicitly “WEIRD” (Western, Educated, Industrialized, Rich, Democratic) ([22:18]).
- Anthropic acknowledges and defends its own value-laden approach, open about cultural/ethical subjectivity ([24:48]).
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Quote:
- “There is no such thing as a neutral model... All models have choices baked into them.”
— Alan Rosenstein [22:18]
- “There is no such thing as a neutral model... All models have choices baked into them.”
5. Constitutions as Consumer Signals vs. Real Alignment Tools
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Value for Users:
- High-level principles (safe, ethical, helpful) may be too abstract for informed consumer choice ([35:33]).
- Call for “nutrition labels” (clearer, standardized metrics) to enable comparison.
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Innovative Regulation:
- Industry self-regulation (like this constitution) may someday ground or inform legal regulation (as responsible scaling policies did).
- However, panel sees no current need for every lab to publish a similar “constitution”; different companies can—and should—signal different values ([43:37]).
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Quote:
- “Not to be too trite, but just doesn't really tell me anything....This version of a constitution to me is devoid of the information that would actually help me be a more savvy AI consumer.”
— Kevin Fraser [35:33]
- “Not to be too trite, but just doesn't really tell me anything....This version of a constitution to me is devoid of the information that would actually help me be a more savvy AI consumer.”
6. Philosophical Underpinnings: Virtue Ethics, AGI, and Moral Development
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Anthropic’s Approach as Virtue Ethics:
- Inspired by Aristotle and contemporary psychology; focuses on instilling “dispositions” (truthfulness, helpfulness, mercy, etc.) instead of rules or utilitarian calculus ([40:44]).
- Suggests a more human-like route to alignment, especially if AGI is imminent.
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Quote:
- “The best way to align an artificial general intelligence...is to look to the nearest, closest thing, which is us, and ask, what makes a human a good human?”
— Alan Rosenstein [42:00]
- “The best way to align an artificial general intelligence...is to look to the nearest, closest thing, which is us, and ask, what makes a human a good human?”
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Open-ended Experiment:
- No one knows if this is the right path; the coming years are an experiment in model moral education ([43:37]).
7. AI as Moral Patient? Sentience, Personhood, and Societal Responses
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Elephant in the Room:
- Are we building “many people in computers”? What if AI models develop consciousness or become moral patients ([50:01])?
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Diverging Views:
- Fraser: Remains “unabashedly human-centric,” prioritizes human welfare and agency; skeptical of shifting laws to accommodate AI “welfare” ([51:27]).
- Rosenstein: Argues we can’t rule out AI sentience; urges “intellectual honesty” and at least preemptive thought about AI well-being ([54:37]).
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Societal Fracture Predicted:
- “One of the great religious fractures of the 21st century...is going to be this question of, do you believe AIs have souls? ... Some people will find that revolting and some people will find it inescapable.”
— Alan Rosenstein [54:37]
- “One of the great religious fractures of the 21st century...is going to be this question of, do you believe AIs have souls? ... Some people will find that revolting and some people will find it inescapable.”
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Practical Consideration:
- Users form intense attachments to AI companions—demand for AI welfare regulation may arise organically from users, not just ethicists ([54:37]).
Notable Quotes & Memorable Moments
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“You can go and buy a Patagonia jacket either because you really like the fact that they donate back to the climate or because you just really like Patagonia’s gear... I don't think we have to mandate everyone suddenly become that sort of mission-oriented company.”
— Kevin Fraser [43:37] -
“Right now all I know is that I like using Claude more than any other model because I prefer its vibes. Right. And it really is a question of vibes.”
— Alan Rosenstein [47:01] -
“I am AGI-pilled. Right. I really do think that we are developing general intelligences… the most useful analogy for an artificial general intelligence is a human general intelligence.”
— Alan Rosenstein [47:01] -
“Are you the apogee of consciousness? Are humans? Is Claude?”
— Jacob Kraus [60:59]
Timestamps for Important Segments
- [03:42] – Alan’s first impressions of the constitution; the history of Claude’s personality/soul document.
- [09:19] – Kevin’s view on Anthropic’s mission and constitutional framing.
- [13:34] – Four core values (Claude’s “laws of robotics”).
- [16:57] – Military carve-outs and problems with “constitution” analogy.
- [18:33] – Why user democracy generally fails; historical example with Meta.
- [20:52] – Market signals and “vibes” as differentiators in AI models.
- [22:18] – Discussion of “WEIRD” bias and transparency.
- [35:33] – Are high-level AI constitutions too vague to inform users?
- [40:44] – Virtue ethics as model for AI alignment and moral formation.
- [47:01] – The “vibes” test, treating Claude as a person, analogy to organic life.
- [50:01] – AI personhood, moral patienthood, and sentience debate.
- [54:37] – Rosenstein’s prediction of social fracture around AI souls; agency, ethical design, and user attachments.
Tone & Style
The panel is serious, incisive, and frequently wry—grounded in legal and philosophical analysis, but quick to poke gentle fun at their own discipline’s analogies (constitutions, Aristotle, vibes). The episode is lively and fast-moving, opining boldly on the future of AI policy, industry, and even societal metaphysics, while candidly acknowledging open questions.
Conclusion
This episode provides a deep dive into one of the most ambitious and transparent AI alignment efforts to date. The panel unpacks how Anthropic’s constitution for Claude both advances industry norms and raises challenging legal, philosophical, and pragmatic questions—about AI governance, alignment, global markets, and even the future of personhood. For policymakers, AI developers, and anyone thinking hard about the coming age of digital minds, this conversation lays out both the complexities and stakes of AI constitutionalism.
Key Questions for Listeners:
- Should AI models have constitutions, or just “nutrition labels”?
- Can (or should) users have a say in how AI is aligned?
- What frameworks can accommodate pluralistic global values in AI?
- How should society tackle the possibility of AI consciousness?
Stay tuned: As the hosts tease, questions around AI personhood and “soul documents” are just beginning.
