BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//WASP-HS - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://wasp-hs.org
X-WR-CALDESC:Events for WASP-HS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260612T130000
DTEND;TZID=Europe/Stockholm:20260612T150000
DTSTAMP:20260825T230251
CREATED:20260611T065338Z
LAST-MODIFIED:20260611T065341Z
UID:23250-1781269200-1781276400@wasp-hs.org
SUMMARY:PhD Defense: The Global Governance of Artificial Intelligence: Actor Preferences\, Bargaining Dynamics\, and Institutional Design
DESCRIPTION:On 12 June 2026\, Johannes Geith defends his doctoral thesis\, “The Global Governance of Artificial Intelligence: Actor Preferences\, Bargaining Dynamics\, and Institutional Design“\, at Stockholm University. \nSee event page. \nAbstract\nArtificial Intelligence (AI) poses one of the most consequential governance challenges of the 21st century. Consequently\, a range of actors\, including states\, international organizations\, and non-state actors\, recognize AI as a critical domain for strategic competition and risk mitigation. While policymakers around the world grapple with the question of whether and how to regulate AI\, the focus of attention has recently shifted to the global level. Yet to date\, we lack systematic knowledge about the patterns and drivers of global AI governance. To that end\, this dissertation provides a systematic analysis of three areas of the governance process that hold considerable promise for deepening our understanding of the global governance of AI: actor preferences\, bargaining dynamics\, and institutional design. Through four independent papers\, this dissertation makes substantive theoretical and empirical contributions to address shortcomings in prior research.  \nTheoretically\, it develops novel and testable arguments about the global governance of AI. Empirically\, it spearheads a comprehensive analysis of global AI governance through large-scale data collection efforts for each of the singular papers\, utilizing various methods for descriptive and explanatory analysis. The dissertation finds that global AI governance is characterized by three core patterns: heterogeneous actors\, institutional fragmentation\, and a predominance of non-binding rules. Two factors emerge consistently across the papers as drivers of these patterns: divergence of interests among relevant actors and uncertainty about AI. This dissertation makes contributions to three overarching bodies of literature: AI governance\, global digital governance\, and global governance. \nSee full thesis. \nSupervisors\nJonas Tallberg\, Stockholm UniversityMagnus Lundgren\, University of Gothenburg \nOpponent\nDaniel Nielson\, The University of Texas at Austin
URL:https://wasp-hs.org/event3/phd-defense-the-global-governance-of-artificial-intelligence-actor-preferences-bargaining-dynamics-and-institutional-design/
LOCATION:Hörsal 10 (auditorium)\, Building E\, Stockholm University\, Universitetsvägen 10 E\, Stockholm\, Sweden
CATEGORIES:PhD Defence,PhD Defense
ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2026/06/4.jpg
END:VEVENT
END:VCALENDAR