Corpus ID: 12598746

Accountable Algorithms

  title={Accountable Algorithms},
  author={Joel R. Reidenberg and D. Robinson and HARLAN YUt},
  • Joel R. Reidenberg, Joel R. Reidenberg, +1 author HARLAN YUt
  • Published 2016
  • Many important decisions historically made by people are now made by computers. Algorithms count votes, approve loan and credit card applications, target citizens or neighborhoods for police scrutiny, select taxpayers for IRS audit, grant or deny immigration visas, and more. The accountability mechanisms and legal standards that govern such decision processes have not kept pace with technology. The tools currently available to policymakers, legislators, and courts were developed to oversee… CONTINUE READING
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    • 9
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    • 17
    • Highly Influenced
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    The scales of (algorithmic) justice: tradeoffs and remedies
    • 1
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    Publications referenced by this paper.
    Algorithms for interpretable machine learning
    • 40
    The living Constitution
    • 63
    • PDF
    Learning Fair Representations
    • 647
    • PDF
    695 A. Recommendations for Computer Scientists: Design for After-the
      A. Assessing Computer Systems
        Applying Technical Tools to Reform the Designing the DVL for
          C. Antidiscrimination Law and Algorithmic Decisionmaking
            Calif. L. Rev
            • 2010