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DTSTART:20241027T030000
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UID:calendar.136963.field_date.0@www.tse-fr.eu
DTSTAMP:20260308T211404Z
CREATED:20250305T161001Z
DESCRIPTION:Michal Gal (University of Haifa)\, “A General Framework for Ana
 lyzing the Effects of Algorithms on Optimal Competition Laws”\, Digital Wo
 rkshop\, TSE & IAST\, April 2\, 2025\, 12:30–13:30\, Auditorium A4.\n\nCom
 petition laws are influenced by economic presumptions regarding how market
 s operate. Such presumptions generally relate to how humans interact\, suc
 h as how human decision-makers – whether acting as individuals or as agent
 s of a firm – gather information\, send signals\, and deal with complex\, 
 uncertain\, or fast-changing market environments. The exponential growth i
 n the use of algorithms by market participants to perform a myriad of task
 s is challenging such presumptions. The lowering of access barriers to rea
 l-time data on market conditions\, coupled with semi-automated decision-ma
 king by sophisticated and autonomous robo-economicus\, requires us to reth
 ink the economic presumptions embedded in our laws. Indeed\, as we show\, 
 in many cases\, the application of existing legal presumptions to markets 
 in which decisions are made by sophisticated algorithms operating on big d
 ata\, increase both the frequency and the harms of false negatives and\, a
 lthough less frequently\, false positives.\nResearch thus far has largely 
 focused on how algorithms affect specific types of competition rules. This
  article goes further\, to suggest a general framework for identifying suc
 h effects. We employ decision theory to help determine how competition law
 s should be optimally framed in the age of algorithmic decision-making. As
  we show\, once the use of sophisticated AI-empowered algorithms is assume
 d\, legal presumptions with regard to some types of conduct must be change
 d. We suggest a typology of six different effects\, ranging from no effect
  at all to a need for new prohibitions. Our theoretical analysis is aided 
 by real-world examples\, including cases where the introduction of sophist
 icated algorithms affects the choice between rules versus standards\, the 
 content of the prohibition\, or procedural rules. We hope our meta-level a
 nalysis brings more clarity to a much-needed reboot of our regulatory fram
 ework in the age of algorithms.
DTSTART;TZID=Europe/Paris:20250402T133000
DTEND;TZID=Europe/Paris:20250402T143000
LAST-MODIFIED:20260113T095129Z
LOCATION:TSE & IAST\, April 2\, 2025\, 12:30–13:30\, Auditorium A4
SUMMARY:Digital Workshop
URL;TYPE=URI:https://www.tse-fr.eu/seminars/2025-general-framework-analyzin
 g-effects-algorithms-optimal-competition-laws
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