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DESCRIPTION:The Moynihan Institute’s Study of Global Politics series presen
 ts&nbsp\;Seva Gunitsky from the University of Toronto.Autocracies operate 
 in self-imposed darkness: the same repression that keeps dictators in powe
 r insulates them from accurate assessments of what their people want or wh
 at their subordinates are doing. This has been the central dilemma of auto
 cratic rule for centuries. Artificial intelligence\, however\, threatens t
 o alter this calculus by giving rulers new ways to overcome informational 
 blindness and principal-agent problems without loosening control. This pap
 er presents three AI governance strategies – panopticism\, discourse manag
 ement\, and agency alignment – and links them to old institutional tradeof
 fs (namely\, the Dictator’s Dilemma and the Coercive Dilemma) in closed re
 gimes. Together\, these strategies may allow autocracies to replicate the 
 institutional advantages of liberal governance without ceding centralized 
 control.Seva Gunitsky is an associate professor of political science at th
 e University of Toronto. His work examines how international forces like w
 ar and globalization shape democracy and domestic reforms. He is the autho
 r of&nbsp\;Aftershocks: Great Powers and Domestic Reforms in the Twentieth
  Century&nbsp\;(Princeton University Press)\, selected by Foreign Affairs 
 as one of the best books of 2017. Some of his work has appeared in&nbsp\;I
 nternational Organization\, International Studies Quarterly\, Internationa
 l Theory\,&nbsp\;and&nbsp\;Perspectives on Politics\, as well as popular o
 utlets like&nbsp\;Foreign Affairs\, Foreign Policy\, The Washington Post\,
  The New Republic\,&nbsp\;and others.
DTEND:20260925T180000Z
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DTSTART:20260925T160000Z
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SEQUENCE:0
SUMMARY:Seva Gunitsky | Autocratic Resilience in the Age of AI
UID:RFCALITEM639250031499768213
X-ALT-DESC;FMTTYPE=text/html:<p>The Moynihan Institute’s Study of Global Po
 litics series presents&nbsp\;Seva Gunitsky from the University of Toronto.
 </p><p>Autocracies operate in self-imposed darkness: the same repression t
 hat keeps dictators in power insulates them from accurate assessments of w
 hat their people want or what their subordinates are doing. This has been 
 the central dilemma of autocratic rule for centuries. Artificial intellige
 nce\, however\, threatens to alter this calculus by giving rulers new ways
  to overcome informational blindness and principal-agent problems without 
 loosening control. </p><p>This paper presents three AI governance strategi
 es – panopticism\, discourse management\, and agency alignment – and links
  them to old institutional tradeoffs (namely\, the Dictator’s Dilemma and 
 the Coercive Dilemma) in closed regimes. Together\, these strategies may a
 llow autocracies to replicate the institutional advantages of liberal gove
 rnance without ceding centralized control.</p><p><strong>Seva Gunitsky</st
 rong> is an associate professor of political science at the University of 
 Toronto. His work examines how international forces like war and globaliza
 tion shape democracy and domestic reforms. He is the author of&nbsp\;<em>A
 ftershocks: Great Powers and Domestic Reforms in the Twentieth Century</em
 >&nbsp\;(Princeton University Press)\, selected by <em>Foreign Affairs</em
 > as one of the best books of 2017. Some of his work has appeared in&nbsp\
 ;<em>International Organization\, International Studies Quarterly\, Intern
 ational Theory\,&nbsp\;</em>and&nbsp\;<em>Perspectives on Politics</em>\, 
 as well as popular outlets like&nbsp\;<em>Foreign Affairs\, Foreign Policy
 \, The Washington Post\, The New Republic\,&nbsp\;</em>and others.</p>
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