Scaling Laws

Alan Rozenshtein, research director at Lawfare, and Kevin Frazier, senior editor at Lawfare, spoke with Amanda Askell, head of personality alignment at Anthropic, about Claude's Constitution: a 20,000-word document that describes the values, character, and ethical framework of Anthropic's flagship AI model and plays a direct role in its training.

The conversation covered how the constitution is used during supervised learning and reinforcement learning to shape Claude's behavior; analogies to constitutional law, including fidelity to text, the potential for a body of "case law," and the principal hierarchy of Anthropic, operators, and users; the decision to ground the constitution in virtue ethics and practical judgment rather than rigid rules; the document's treatment of Claude's potential moral patienthood and the question of AI personhood; whether the constitution's values are too Western and culturally specific; the tension between Anthropic's commercial incentives and its stated mission; and whether the constitutional approach can generalize to specialized domains like cybersecurity and military applications.

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Kevin Frazier sits down with Andrew Freedman of Fathom and Gillian Hadfield, AI governance scholar, at the Ashby Workshops to examine innovative models for AI regulation.
They discuss:

Why traditional regulation struggles with rapid AI innovation.
The concept of Regulatory Markets and how it aligns with the unique governance challenges posed by AI.
Critiques of hybrid governance: concerns about a “race to the bottom,” the limits of soft law on catastrophic risks, and how liability frameworks interact with governance.
What success looks like for Ashby Workshops and the future of adaptive AI policy design.

Whether you’re a policy wonk, technologist, or governance skeptic, this episode bridges ideas and practice in a time of rapid technological change.
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Alan Rozenshtein, research director at Lawfare, and Renee DiResta, associate research professor at Georgetown University's McCourt School of Public Policy and contributing editor at Lawfare, spoke with David Rand, professor of information science, marketing, and psychology at Cornell University.

The conversation covered how inattention to accuracy drives misinformation sharing and the effectiveness of accuracy nudges; how AI chatbots can durably reduce conspiracy beliefs through evidence-based dialogue; research showing that conversational AI can shift voters' candidate preferences, with effect sizes several times larger than traditional political ads; the finding that AI persuasion works through presenting factual claims, but that the claims need not be true to be effective; partisan asymmetries in misinformation sharing; the threat of AI-powered bot swarms on social media; the political stakes of training data and system prompts; and the policy case for transparency requirements.

Additional reading:
"Durably Reducing Conspiracy Beliefs Through Dialogues with AI" - Science (2024)
"Persuading Voters Using Human-Artificial Intelligence Dialogues" - Nature (2025)
"The Levers of Political Persuasion with Conversational Artificial Intelligence" Science (2025)
"How Malicious AI Swarms Can Threaten Democracy" - Science (2026)

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Nathan Labenz, host of the Cognitive Revolution, sat down with Alan and Kevin to talk about the intersection of AI and the law. The trio explore everything from how AI may address the shortage of attorneys in rural communities to the feasibility and desirability of the so-called "Right to Compute."

Learn more about the Cognitive Revolution here. It's our second favorite AI podcast!
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Most folks agree that AI is going to drastically change our economy, the nature of work, and the labor market. What's unclear is when those changes will take place and how best Americans can navigate the transition.

Brent Orrell, senior fellow at the American Enterprise Institute, joins Kevin Frazier, a Senior Fellow at the Abundance Institute, the Director of the AI Innovation and Law Fellow at the University of Texas School of Law, and a Senior Editor at Lawfare, to help tackle these and other weighty questions.

Orrell has been studying the future of work since before it was cool. His two cents are very much worth a nickel in this important conversation.

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