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Selected Works of Richard Warner
Article
When Is an Algorithm Transparent? Predictive Analytics, Privacy, and Public Policy
IEEE Security & Privacy (2018)
  • Richard Warner
  • Robert H. Sloan, University of Illinois at Chicago
Link
Abstract
The problem of algorithmic transparency is pressing. Predictive systems are transparent for consumers if they can ascertain the risks and benefits associated with the predictive systems to which they are subject. We examine three ways to meet this condition: disclosing source code, transparency without disclosing source code, and informational norms.
Keywords
  • law,
  • Decision Making,
  • Government Data Processing,
  • Security of Data,
  • Software Engineering,
  • Source Code Software,
  • System Recovery,
  • Predictive Analytics,
  • Privacy,
  • Public Policy,
  • Artificial Intelligence,
  • AI Ethics
Disciplines
Publication Date
June, 2018
DOI
10.1109/MSP.2018.2701166
Citation Information
Richard Warner and Robert H. Sloan. "When Is an Algorithm Transparent? Predictive Analytics, Privacy, and Public Policy" IEEE Security & Privacy Vol. 16 Iss. May/June (2018) p. 18 - 25
Available at: http://works.bepress.com/richard_warner/98/