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UID:20261022T0202Z-1792634556.7034-EO-796692-1@10.73.15.240
STATUS:CONFIRMED
DTSTAMP:20261021T220236Z
CREATED:20261021T205522Z
LAST-MODIFIED:20261021T205522Z
DTSTART;TZID=America/New_York:20261103T122000
DTEND;TZID=America/New_York:20261103T132000
SUMMARY: How to Tell an AI What to Do: Rules\, Cases\, and Interpretation
DESCRIPTION: What can the law teach us about where AI systems should exerci
 se judgment when their instructions leave room for interpretation? AI devel
 opers now govern their most capable models through written “constitutions.”
  These documents set out a model’s values\, priorities and character\, and 
 they’re used directly in training. Anthropic’s constitution for Claude is t
 he most prominent […]
X-ALT-DESC;FMTTYPE=text/html: <p>What can the law teach us about where AI s
 ystems should exercise judgment when their instructions leave room for inte
 rpretation?</p><p>AI developers now govern their most capable models throug
 h written “constitutions.” These documents set out a model’s values\, prior
 ities and character\, and they’re used directly in training. Anthropic’s co
 nstitution for Claude is the most prominent example. These documents raise 
 questions that law has dealt with for centuries. Who has the authority to w
 rite them? How should vague principles be interpreted when they conflict? C
 an a model meaningfully consent to the values it’s trained on? What role\, 
 if any\, should governments play?</p><p>Nicholas Caputo (Johns Hopkins Scho
 ol of Government and Policy\; Oxford Martin AI Governance Initiative) and J
 ordi Weinstock (Harvard Law School\; Berkman Klein Center) will discuss wha
 t legal theory can and can’t tell us about AI constitutions. Caputo’s resea
 rch treats AI alignment as a problem of jurisprudence\, and his work in pro
 gress asks whether Claude can consent to its own constitution. Weinstock te
 aches at Harvard Law School about the confluence of AI and traditional law 
 and served as an external reviewer of Claude’s constitution.</p>
CATEGORIES:Speaker/Panel
LOCATION:Lewis Hall\, 5th floor at the Berkman Klein Center's Multi-Purpose Room 515
GEO:0.000000;0.000000
ORGANIZER;CN="Matt Kristoffersen":MAILTO:mkristoffersen@jd27.law.harvard.ed
 u
URL;VALUE=URI:https://hls.harvard.edu/events/how-to-tell-an-ai-what-to-do-r
 ules-cases-and-interpretation-2/
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TZID:America/New_York
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DTSTART:20261101T060000
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