Young people's policy recommendations on algorithm fairness

Perez, Elvira and Koene, Ansgar and Portillo, Virginia and Dowthwaite, Liz and Cano, Monica (2017) Young people's policy recommendations on algorithm fairness. In: ACM Web Science Conference (WebSci' 17), 26-28 June 2017, Troy, N.Y., U.S.A..

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Abstract

This paper explores the policy recommendations made by young people regarding algorithm fairness. It describes a piece of ongoing research developed to bring children and young people to the front line of the debate regarding children's digital rights. We employed the Youth Juries methodology which was designed to facilitate learning through discussions. The juries capture the deliberation process on a specific digital right, the right to know how algorithms govern and influence the Web and its users. Preliminary results show that young people demand to know more about algorithms, they want more transparency, more options, and more control about the way algorithms use their personal data.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published in: WebSci '17 : proceedings of the 2017 ACM on Web Science Conference. New York : ACM, 2017, ISBN: 978-1-4503-4896-6. pp. 247-251, doi:10.1145/3091478.3091512
Keywords: Youth jury; algorithm fairness; youth opinion; deliberation; digital literacy; digital citizenship, privacy; policy
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1145/3091478.3091512
Depositing User: Koene, Ansgar
Date Deposited: 26 Feb 2018 10:56
Last Modified: 26 Feb 2018 15:47
URI: http://eprints.nottingham.ac.uk/id/eprint/49978

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