BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//jEvents 2.0 for Joomla//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:c98f714a267a032a52a40ddb867ad40e
CATEGORIES:Seminars
CREATED:20240906T062308
SUMMARY:Lunch Seminar: Gabriele Rovigatti - Bank of Italy
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:<p><em><strong>Artificial Intelligence &amp; Data Obfuscation: Algorithmic 
 Competition in Digital AD Auctions</strong></em></p><p>Abstract:</p><p styl
 e="text-align: justify;">Data aren’t just the fuel of artificial intelligen
 ce. Data granularity, frequency, and quality determine the feasibility and 
 performance of AI algorithms. In the context of the generalized second-pric
 e auction used to sell internet search ads, we conduct simulated experiment
 s with asymmetric bidders competing through Q-learning algorithms under dif
 ferent information structures on rival bids. We find that when less detaile
 d information is available to train algorithms auctioneer revenues are subs
 tantially and persistently higher. This underscores the incentive for the d
 igital platforms designing data-sharing policies to distort data flows to t
 heir advantage by strategically obfuscating data.</p>
DTSTAMP:20260423T021537Z
DTSTART:20241009T130000Z
DTEND:20241009T140000Z
SEQUENCE:0
TRANSP:OPAQUE
END:VEVENT
END:VCALENDAR