<?xml version="1.0" encoding="UTF-8"?>
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  <dc:identifier>http://dx.doi.org/10.17176/20220819-181907-0</dc:identifier>
  <dc:identifier>https://verfassungsblog.de/compute-and-antitrust/</dc:identifier>
  <dc:title>Compute and Antitrust - Regulatory implications of the AI hardware supply chain, from chip design to cloud APIs</dc:title>
  <dc:creator>Belfield, Haydn</dc:creator>
  <dc:creator>Hua, Shin-Shin</dc:creator>
  <dc:language>eng</dc:language>
  <dc:date>2022-08-19</dc:date>
  <dc:type>electronic resource</dc:type>
  <dc:format>text/html</dc:format>
  <dc:subject>ddc:342</dc:subject>
  <dc:subject>Antitrust</dc:subject>
  <dc:subject>Artificial Intelligence</dc:subject>
  <dc:subject>Compute</dc:subject>
  <dc:publisher>Verfassungsblog</dc:publisher>
  <dc:relation>Verfassungsblog--2366-7044</dc:relation>
  <dc:rights>CC BY-SA 4.0</dc:rights>
  <dc:description>Compute or computing power refers to a software and hardware stack, such as in a data centre or computer, engineered for AI-specific applications. We argue that the antitrust and regulatory literature to date has failed to pay sufficient attention to compute, despite compute being a key input to AI progress and services, the potentially substantial market power of companies in the supply chain, and the advantages of compute as a ‘unit’ of regulation in terms of detection and remedies.</dc:description>
</dc>
