Fairness in AI: challenges in bridging the gap between algorithms and law
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00379068" target="_blank" >RIV/68407700:21230/24:00379068 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICDEW61823.2024.00034" target="_blank" >https://doi.org/10.1109/ICDEW61823.2024.00034</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDEW61823.2024.00034" target="_blank" >10.1109/ICDEW61823.2024.00034</a>
Alternative languages
Result language
angličtina
Original language name
Fairness in AI: challenges in bridging the gap between algorithms and law
Original language description
In this paper we examine algorithmic fairness from the perspective of law aiming to identify best practices and strategies for the specification and adoption of fairness definitions and algorithms in real-world systems and use cases. We start by providing a brief introduction of current anti-discrimination law in the European Union and the United States and discussing the concepts of bias and fairness from an legal and ethical viewpoint. We then proceed by presenting a set of algorithmic fairness definitions by example, aiming to communicate their objectives to non-technical audiences. Then, we introduce a set of core criteria that need to be taken into account when selecting a specific fairness definition for real-world use case applications. Finally, we enumerate a set of key considerations and best practices for the design and employment of fairness methods on real-world AI applications.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW)
ISBN
979-8-3503-8404-8
ISSN
1943-2895
e-ISSN
—
Number of pages
9
Pages from-to
217-225
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Utrecht
Event date
May 13, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001259407300036