Fair, Transparent, and Accountable Algorithmic Decision-making Processes
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13347_2017_279_ReferencePDF.pdf
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Author(s)
Lepri, Bruno
Oliver, Nuria
Letouze, Emmanuel F
Pentland, Alex Paul
Vinck, Patrick
Alternative Title
The Premise, the Proposed Solutions, and the Open Challenges
Date Issued
December 2018
Journal
Philosophy & Technology
Publisher
Springer Netherlands
Citation
Lepri, Bruno et al. “Fair, Transparent, and Accountable Algorithmic Decision-Making Processes.” Philosophy & Technology 31, 4 (December 2018): 611–627 © 2017 Springer Science+Business Media
Version
Author's final manuscript
Abstract
The combination of increased availability of large amounts of fine-grained human behavioral data and advances in machine learning is presiding over a growing reliance on algorithms to address complex societal problems. Algorithmic decision-making processes might lead to more objective and thus potentially fairer decisions than those made by humans who may be influenced by greed, prejudice, fatigue, or hunger. However, algorithmic decision-making has been criticized for its potential to enhance discrimination, information and power asymmetry, and opacity. In this paper, we provide an overview of available technical solutions to enhance fairness, accountability, and transparency in algorithmic decision-making. We also highlight the criticality and urgency to engage multi-disciplinary teams of researchers, practitioners, policy-makers, and citizens to co-develop, deploy, and evaluate in the real-world algorithmic decision-making processes designed to maximize fairness and transparency. In doing so, we describe the Open Algortihms (OPAL) project as a step towards realizing the vision of a world where data and algorithms are used as lenses and levers in support of democracy and development. Keyword: algorithmic decision-making ; algorithmic transparency ; fairness ;
accountability ; social good
MIT Department
Massachusetts Institute of Technology. Media Laboratory
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DOI of Published Version
https://doi.org/10.1007/s13347-017-0279-x
