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CATEGORIES:Seminar,Class/ Workshop
DESCRIPTION:Danielle Li\n\nLabor as Capital: AI and the Ownership of Expert
 ise\n\nAbstract:   Workplace surveillance generates data that can train AI 
 systems to replicate worker expertise. Using an online survey experiment of
  U.S. full-time workers\, we show that workers report a desire to reduce th
 eir knowledge contributions when made aware of this dynamic: they rationall
 y withhold expertise due to career concerns. We formalize this behavior in 
 a model of knowledge supply under surveillance-enabled AI and use it to eva
 luate alternative policies. Individual data ownership--workers' preferred p
 olicy—eliminates knowledge withholding but creates negative externalities: 
 one worker's data strengthens the firm's bargaining position against others
 \, potentially making all workers worse off. In contrast\, collective data 
 ownership achieves the first-best outcome\, promoting knowledge sharing whi
 le allowing workers to benefit from AI-driven productivity gains. These fin
 dings highlight the importance of labor agreements in shaping AI adoption i
 n labor markets.\n\n \n\nwith Zoe Cullen and Shengwu Li
DTEND:20250929T165500Z
DTSTAMP:20260416T114745Z
DTSTART:20250929T154000Z
GEO:42.447319;-76.480995
LOCATION:Ives Hall\, 111
SEQUENCE:0
SUMMARY:Labor Economics Workshop: Danielle Li
UID:tag:localist.com\,2008:EventInstance_50542440359347
URL:https://events.cornell.edu/event/labor-economics-workshop-danielle-li
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