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Joint Seminar 237 & 221 (Macro & IO): Joshua Gans “Staged Access and Liability for Dual-Use Artificial Intelligence”

Posted in University of California-Berkeley · Berkeley, CA
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Date Sep 1, 2026
Time 12:30 PM
Location N370 Chou Hall (Haas)
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Event details Date: Tuesday, September 1, 2026 Time: 12:30 PM to 2:00 PM Location: N370 Chou Hall (Haas) Type: Lecture / Workshop About this event Abstract: How should regulators combine staged access to a dual-use AI model with developer liability? I model a defender and an adversary searching for the same software flaws. After release, liability induces more defensive search but also makes the adversary search harder, limiting its effect on harm. Exclusive access removes this strategic response, so staged access and liability are complements in protection. Defensive effort rises towards the release date, making additional delay progressively less productive. Optimal evaluation windows are therefore bounded, and their response to greater harm saturates. Because defensive search uses real resources, the efficient liability rate can be below full internalisation of harm. That rate generally cannot induce the developer to choose the regulator’s preferred release date, leaving a distinct role for a timing mandate. Official event details: https://events.berkeley.edu/econ/event/323819-joint-seminar-237-221-macro-io-joshua-gans-staged-acc

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