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SUMMARY:Anticipatory Agents: A Framework for Human-AI Partnership Grounded
  in Pragmatist Epistemology - Michael Lissack
DTSTART;TZID=US/Central:20260716T100000
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DTSTAMP:20260726T082136Z
UID:pretalx-iacap-2026-CCSV33@pretalx.iacapconf.org
DESCRIPTION:This paper introduces the anticipatory agent framework for und
 erstanding human-AI collaboration\, synthesizing Robert Rosen's anticipato
 ry systems theory\, QBism (Quantum Bayesianism)\, and Hans Vaihinger's "as
  if" philosophy. Central to the framework is the orthogonality principle: 
 computational capability and existential capability operate as independent
  dimensions rather than competing alternatives. AI systems excel at patter
 n recognition and linguistic fluency\; humans contribute embodied experien
 ce\, temporal continuity\, and genuine accountability. These capacities au
 gment rather than displace one another.\n\nThe framework introduces exform
 ative dialogue—interaction that surfaces tacit knowledge and generates n
 ovel understanding rather than merely transferring existing information. T
 his concept challenges developer-centric AI ethics by relocating responsib
 ility to the human-AI dyad itself. Users bear responsibility for how they 
 engage AI outputs\; developers for creating systems amenable to productive
  collaboration\; institutions for fostering contexts where such dialogue c
 an flourish.\n\nBy grounding human-AI interaction in pragmatist epistemolo
 gy\, this framework offers philosophers a vocabulary that neither inflates
  AI through anthropomorphism nor deflates it through instrumentalist reduc
 tion\, connecting contemporary debates to philosophical traditions that ha
 ve long examined how inquiry\, agency\, and knowledge interrelate.
LOCATION:Apollo Auditorium
URL:https://pretalx.iacapconf.org/iacap-2026/talk/CCSV33/
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