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VERSION:2.0
PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN
NAME:ABRI Lunch Seminar Omid Omidvar
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART:20260602T120000
DTEND:20260602T130000
DTSTAMP:20260602T120000
UID:abri-lunch-seminar-omid-omidva@8F96275E-9F55-4B3F-A143-836282E12573
CREATED:20260924T162249
LOCATION:VU Main Building, 1105, De Boelelaan, 1081 HV, Amsterdam
SUMMARY:ABRI Lunch Seminar Omid Omidvar
X-ALT-DESC;FMTTYPE=text/html: <html> <body> <p><p>We are happy to invi
 te you to the ABRI Lunch Seminar 'AI agents and temporal patterns: ho
 w do they conduct temporal work?' by Dr. Omid Omidvar (Warwick Busine
 ss School, UK) organized by ABRI and the KIN Center for Digital Innov
 ation.</p></p> <p><br>The seminar will take place on Tuesday, June 2n
 d, from 12:00 to 13:00 (HG-10A41). You can find more information belo
 w.<br><br><strong>Abstract</strong><br>Temporal work involves challen
 ging the assumptions about past, present, and future, and changing an
 d manipulating temporal patterns. It is predominantly explored throug
 h the work conducted by human actors, but in this paper, we examine h
 ow AI agents conduct temporal work. We theorize that AI agents conduc
 t temporal work by reconfiguring temporal horizons and restructuring 
 temporal patterns. We argue, first, that AI agents shift organization
 al engagement with the past from narrative to data-driven reconstruct
 ion, reshaping the future from unknowable to actionable representatio
 n. These changes create “temporal collapse”, our term for the com
 pression of temporal distance whereby AI’s data-driven reconstructi
 ons of the past increasingly determine its actionable representations
  of the future. We then theorize that AI agents change temporal patte
 rns by shifting timing from responsive to anticipatory, sequence from
  experientially grounded to algorithmically decoupled, and rhythm fro
 m entrained to adaptive. These changes result in three distinct modes
  of temporal patterning: Determining, Orchestrating, and Orienting. B
 y explicating how AI agents conduct temporal work through temporal co
 llapse, we contribute to organizational temporality research. We also
  contribute to AI and algorithmic management research by demonstratin
 g the temporal nature of automation-augmentation dichotomy: automatio
 n emerges under complete temporal collapse, while augmentation emerge
 s under minimal collapse.<br>&nbsp;</p> </body> </html>
DESCRIPTION: We are happy to invite you to the ABRI Lunch Seminar 'AI 
 agents and temporal patterns: how do they conduct temporal work?' by 
 Dr. Omid Omidvar (Warwick Business School, UK) organized by ABRI and 
 the KIN Center for Digital Innovation. <br>The seminar will take plac
 e on Tuesday, June 2nd, from 12:00 to 13:00 (HG-10A41). You can find 
 more information below.<br><br><strong>Abstract</strong><br>Temporal 
 work involves challenging the assumptions about past, present, and fu
 ture, and changing and manipulating temporal patterns. It is predomin
 antly explored through the work conducted by human actors, but in thi
 s paper, we examine how AI agents conduct temporal work. We theorize 
 that AI agents conduct temporal work by reconfiguring temporal horizo
 ns and restructuring temporal patterns. We argue, first, that AI agen
 ts shift organizational engagement with the past from narrative to da
 ta-driven reconstruction, reshaping the future from unknowable to act
 ionable representation. These changes create “temporal collapse”,
  our term for the compression of temporal distance whereby AI’s dat
 a-driven reconstructions of the past increasingly determine its actio
 nable representations of the future. We then theorize that AI agents 
 change temporal patterns by shifting timing from responsive to antici
 patory, sequence from experientially grounded to algorithmically deco
 upled, and rhythm from entrained to adaptive. These changes result in
  three distinct modes of temporal patterning: Determining, Orchestrat
 ing, and Orienting. By explicating how AI agents conduct temporal wor
 k through temporal collapse, we contribute to organizational temporal
 ity research. We also contribute to AI and algorithmic management res
 earch by demonstrating the temporal nature of automation-augmentation
  dichotomy: automation emerges under complete temporal collapse, whil
 e augmentation emerges under minimal collapse.<br>&nbsp;
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