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BEGIN:VEVENT
DTSTAMP:20241014T203101Z
LOCATION:Flagstaff
DTSTART;TZID=America/Phoenix:20240911T135000
DTEND;TZID=America/Phoenix:20240911T141000
UID:HFESAM_ASPIRE - Presented by HFES_sess206_LECT246@linklings.com
SUMMARY:Comparing Human to Analytic Performance on Detecting and Character
 izing Manipulated Media
DESCRIPTION:Lecture\n\nAndrew Naber (Army Research Institute for the Behav
 ioral and Social Sciences) and Laura Cassani, Peter Bautista, James Cook, 
 Lauren Fortier, and Tatiana Toumbeva (Aptima, Inc.)\n\nEmerging digital te
 chnologies and the ubiquity of social media platforms have accelerated the
  spread of manipulated media, news, and technical information in both size
  and scale. As media manipulations increase in technical sophistication an
 d semantic complexity, efforts to improve analytic performance are increas
 ingly challenging. The Semantic Forensics (SemaFor) program—led by the Def
 ense Advanced Research Projects Agency (DARPA)—aims to develop foundationa
 l technology to refine and extend methods for detecting, attributing, and 
 characterizing semantic inconsistencies in falsified media at scale throug
 h a series of evolving tasks focusing on areas of interest to the communit
 y. The goal of the present research is to provide a baseline of human perf
 ormance for comparison with analytics developed to address detection and c
 haracterization demands across diverse manipulated media tasks.\n\nTrack: 
 Human AI Robot Teaming (AI)\n\nSession Chair: Eileen Roesler (George Mason
  University)
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