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Algorithmic Accountability and Public Reason.

Reuben Binns1

  • 1Department of Computer Science, University of Oxford, Oxford, UK.

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|March 16, 2019
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Summary
This summary is machine-generated.

Algorithmic accountability requires justifications for automated decisions. This study proposes using the democratic principle of public reason to guide these justifications, improving accountability assessments.

Keywords:
Algorithmic accountabilityDiscriminationPublic reason

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Area of Science:

  • Political Philosophy
  • Computer Science
  • Ethics

Background:

  • Algorithms are increasingly used in social decision-making.
  • This has led to demands for algorithmic accountability.
  • Current accountability frameworks lack clear guiding principles for justifications.

Purpose of the Study:

  • To propose a framework for algorithmic accountability based on public reason.
  • To articulate the purpose of algorithmic justifications.
  • To provide criteria for assessing accountability efforts.

Main Methods:

  • Drawing from political philosophy, specifically the concept of public reason.
  • Analyzing the requirements for justifications in automated decision-making.
  • Developing an account of algorithmic accountability.

Main Results:

  • Algorithmic accountability can be understood through the lens of public reason.
  • Public reason provides a normative standard for justifying algorithmic outputs.
  • This framework clarifies the goals and evaluation of accountability measures.

Conclusions:

  • Situating algorithmic accountability within public reason enhances its clarity and effectiveness.
  • This approach aids in articulating the purpose of justifications.
  • It offers a robust method for assessing the adequacy of accountability initiatives.