Fair navigation planning: A resource for characterizing and designing fairness in mobile robots
- Submitting institution
-
University of Oxford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11839
- Type
- D - Journal article
- DOI
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10.1016/j.artint.2020.103259
- Title of journal
- Artificial Intelligence
- Article number
- 103259
- First page
- -
- Volume
- 282
- Issue
- -
- ISSN
- 0004-3702
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Given the prevalence of autonomous decision-making systems, the necessity to make fair and transparent decisions is critical for accountability and building trust. This paper takes a new approach to considering fairness in the design of autonomous systems in the context of robot navigation. Drawing on techniques from Responsible Research and Innovation (RRI), we examine fairness by obtaining formal definitions, applying them to a system, and simulating system deployment in order to anticipate challenges. The paper is one of the first to bring together technical research in robot navigation with the anticipatory approach from RRI for the AI community.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -