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SUMMARY:What Does it Take to Simulate a Mind? Digital Duplicates as Simula
 tion Models - Clint Hurshman
DTSTART;TZID=US/Central:20260716T151500
DTEND;TZID=US/Central:20260716T154500
DTSTAMP:20260726T082750Z
UID:pretalx-iacap-2026-XXLYH8@pretalx.iacapconf.org
DESCRIPTION:Digital duplicates are AI systems that imitate real\, living o
 r dead\, individuals. Digital duplicates are currently being produced and 
 marketed for entertainment and educational purposes\, and they have been p
 roposed for medical care and scientific research\, as well. They are commo
 nly described as simulations of their subject’s “mind\,” “personal
 ity\,” or “communication style\,” but these targets of simulation ca
 n come apart. Scientists regularly use simulation models that represent re
 al systems in distorted and simplified ways\, but because such models misr
 epresent their target systems\, scientists are expected to justify their r
 eliance on them. I argue that digital duplicates warrant similar scrutiny.
 \n\nThis paper examines digital duplicates in light of the debate\, in the
  philosophy of science\, on the epistemology of simulation models\, and ar
 gues that research on digital duplicates ought to pay closer attention to 
 their specific targets of simulation\; that developers have a burden of pr
 oof to establish the adequacy of digital duplicates for the purposes for w
 hich they are marketed\; and that digital duplicates (if they are develope
 d) should be developed so as to discourage their application to purposes f
 or which they are not adequate.
LOCATION:Executive Conference Room
URL:https://pretalx.iacapconf.org/iacap-2026/talk/XXLYH8/
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