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UID:/NewsandEvents/Events/Upcoming-Events/newsitem
 /16156/8-May-2026-AIC-S-Seminar-Series-Dr-Massimo-
 Airoldi-Dr-Alain-Starke
DTSTAMP:20260423T143628
SUMMARY:AIC&S Seminar Series, Dr. Massimo Airoldi;
  Dr. Alain Starke
ATTENDEE;ROLE=Speaker:Dr. Massimo Airoldi (Univers
 ity of Milan); Dr. Alain Starke (University of Ams
 terdam)
DTSTART;TZID=Europe/Amsterdam:20260508T153000
DTEND;TZID=Europe/Amsterdam:20260508T170000
LOCATION:Room L1.14, LAB 42, Science Park 900, Ams
 terdam
DESCRIPTION:In this session, we will explore how c
 ultural taste and everyday choices are modeled, sh
 aped and shifted through data, platforms and AI. P
 resenters will examine how digital traces and reco
 mmender systems reconfigure classical understandin
 gs of taste and how algorithmic mediation interven
 es in what people come to like and choose. Drawing
  on work in cultural sociology, consumer research 
 and recommender-system design, the session brings 
 together perspectives on algorithmically mediated 
 taste and recommendations, from music to food, hig
 hlighting how algorithms not only reflect but also
  transform preferences. The session invites reflec
 tion on how abstract notions of “taste” are operat
 ionalized, nudged and negotiated in AI-driven envi
 ronments.  The event if followed by drinks!
X-ALT-DESC;FMTTYPE=text/html:\n  <p>In this sessio
 n, we will explore how cultural taste and everyday
  choices are modeled, shaped and shifted through d
 ata, platforms and AI. Presenters will examine how
  digital traces and recommender systems reconfigur
 e classical understandings of taste and how algori
 thmic mediation intervenes in what people come to 
 like and choose. Drawing on work in cultural socio
 logy, consumer research and recommender-system des
 ign, the session brings together perspectives on a
 lgorithmically mediated taste and recommendations,
  from music to food, highlighting how algorithms n
 ot only reflect but also transform preferences. Th
 e session invites reflection on how abstract notio
 ns of “taste” are operationalized, nudged and nego
 tiated in AI-driven environments.</p>\n  <p>The ev
 ent if followed by drinks!</p>\n
URL:https://aiculturesociety.github.io
CONTACT:Davide Beraldo at d.beraldo at uva.nl
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