Read the background note |
Algorithms have gained significant attention in recent years given technological advancements in AI and growing amounts of data. Algorithms can be used for a range of purposes. Firms increasingly use algorithms to set prices. Algorithms allow consumers to rapidly search for products and receive personalised recommendations. However, while algorithms provide many benefits, they can also reduce competition, and harm consumers. In June 2023, the OECD held a roundtable to discuss:
KEY FINDINGS The discussion highlighted the various ways in which algorithms can harm consumers, both through co-ordinated conduct (such as algorithmic collusion) and unilateral conduct (such as algorithmic exclusionary and exploitative abuses). Algorithms can change the assumptions on which competition law is based and competition authorities should continue to consider to what extent the existing law may need to change to reflect this. Finally, the experts and delegates discussed the range of methods available to investigate algorithms, as well as the breadth of evidence that an authority could consider. The most relevant technique is usually case-specific. An authority will not always need to adopt sophisticated technical approaches, and simpler methods or evidence may be sufficient in some cases. There have still been relatively few relevant cases and authorities often face several practical challenges when investigating an algorithm. However, authorities are increasingly developing in-house technical knowledge to build their capacity to take on cases involving algorithms, which is important, as these types of cases are likely to become more common.
See the full list of best practice roundtables on competition. |
Speakers
Emilio Calvano Bio Michal Gal Bio Cathy O'Neil Bio |
Documents
OECD Background Note l Note de référence de l'OCDE Auditing as Policy - Note by Cathy O'Neil Detailed summary of the discussion Executive summary with key findings
Contributions from participating delegations |
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Presentations
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Related best practice roundtables
Data Screening Tools for Competition Investigations (2022) Ex Ante Regulation and Competition in Digital Markets (2021) Abuse of dominance in digital markets (2020) Personalised Pricing in the Digital Era (2018) Algorithms and collusion (2017) |
See also
OECD Business and Finance Outlook 2021 - AI in Business and Finance |
Related Documents