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SSRN
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America's Next 'Stop Model!': Algorithmic Disgorgement

SSRN Electronic Journal
2022
  • 0
    Citations
  • 3,093
    Usage
  • 3
    Captures
  • 7
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    3,093
    • Abstract Views
      2,534
    • Downloads
      559
  • Captures
    3
  • Mentions
    7
    • News Mentions
      6
      • 6
    • Blog Mentions
      1
      • Blog
        1
  • Ratings
    • Download Rank
      99,572

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Article Description

This Article explores the emergence of model deletion–the compelled destruction or dispossession of certain data, algorithms, models, and associated work products created or shaped by illegal means--as a remedy, right, and requirement for artificial intelligence and machine learning systems. Part I examines model deletion's emergence as a consumer protection remedy and conception as a positive right and regulatory requirement. Part II considers the constellation of Federal and State actors who might seek model deletion to address particular AI and ML harms and violations of law, including Federal and State enforcement agencies and legislative bodies. Part III underscores the need to legislate broader privacy and data protection regulation to bolster the effectiveness of model deletion. Part IV reflects on the challenges of model deletion, including the scope and enforcement of model deletion orders and logistical issues for companies undergoing model deletion. Part V envisions two speculative case studies for model deletion: Clearview and Securus.

Bibliographic Details

Jevan Hutson; Ben Winters

Elsevier BV

artificial intelligence; machine learning; consumer protection; disgorgement; FTC; model

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