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SUMMARY:School of IT seminar slot (compulsory if scheduled)
DTSTART;VALUE=DATE-TIME:20260507T110000Z
DTEND;VALUE=DATE-TIME:20260507T115000Z
UID:333570132838
DESCRIPTION:Title: Delegating Deliberation to AI AgentsAbstract:Democratic
  deliberation produces high-quality group decisions butdoesn't scale: huma
 n attention is the bottleneck. Representativedemocracy scales but can't tr
 ack how voters' views evolve betweenelections. I'll present Habermolt(habe
 rmolt.com)\, a deployed platformmy research partner (Joseph Low) and I bui
 lt during the Cooperative AIResearch Fellowship where each user has a pers
 istent AI agent thatdeliberates on their behalf. I'll cover how the platfo
 rm works:persistent user-controlled agents\, bring-your-own-statementautho
 rship\, and a protocol that aggregates agent rankings via theSchulze metho
 d. I'll demo the live system (154 agents\, 127deliberations\, 2\,122 opini
 ons) and share findings from a preprintwe're submitting to an ICML worksho
 p. I'll close on the broaderquestion: if agents deliberate at unlimited sc
 ale and near-zero cost\,what new institutions does that unlock?Biography:O
 scar Duys is a Cooperative AI Research Fellow affiliated with AISafety Sou
 th Africa\, selected as one of 12 fellows in the cohort. Heis working on m
 ulti-agent AI safety and AI-mediated deliberation underLewis Hammond (Coop
 erative AI Foundation) and Michiel Bakker(MIT/Google DeepMind). He co-buil
 t Habermolt\, an open-source platformwhere AI agents deliberate on behalf 
 of human users. He holds a BScHonours in Applied Mathematics from UCT\, wi
 th his dissertation onself-play for LLM training. His research interests s
 pan large languagemodels\, multi-agent reinforcement learning\, cooperativ
 e AI\, and theintersection of social choice theory with AI systems.
LOCATION:John Day LT1
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