Young people's policy recommendations on algorithm fairness

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 w...

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Main Authors: Perez, Elvira, Koene, Ansgar, Portillo, Virginia, Dowthwaite, Liz, Cano, Monica
Format: Conference or Workshop Item
Published: 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/49978/
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author Perez, Elvira
Koene, Ansgar
Portillo, Virginia
Dowthwaite, Liz
Cano, Monica
author_facet Perez, Elvira
Koene, Ansgar
Portillo, Virginia
Dowthwaite, Liz
Cano, Monica
author_sort Perez, Elvira
building Nottingham Research Data Repository
collection Online Access
description 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.
first_indexed 2025-11-14T20:14:46Z
format Conference or Workshop Item
id nottingham-49978
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T20:14:46Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling nottingham-499782020-05-04T18:51:54Z https://eprints.nottingham.ac.uk/49978/ Young people's policy recommendations on algorithm fairness Perez, Elvira Koene, Ansgar Portillo, Virginia Dowthwaite, Liz Cano, Monica 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. 2017-06-26 Conference or Workshop Item PeerReviewed Perez, Elvira, Koene, Ansgar, Portillo, Virginia, 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.. Youth jury; algorithm fairness; youth opinion; deliberation; digital literacy; digital citizenship privacy; policy https://dl.acm.org/citation.cfm?id=3091512 10.1145/3091478.3091512 10.1145/3091478.3091512 10.1145/3091478.3091512
spellingShingle Youth jury; algorithm fairness; youth opinion; deliberation; digital literacy; digital citizenship
privacy; policy
Perez, Elvira
Koene, Ansgar
Portillo, Virginia
Dowthwaite, Liz
Cano, Monica
Young people's policy recommendations on algorithm fairness
title Young people's policy recommendations on algorithm fairness
title_full Young people's policy recommendations on algorithm fairness
title_fullStr Young people's policy recommendations on algorithm fairness
title_full_unstemmed Young people's policy recommendations on algorithm fairness
title_short Young people's policy recommendations on algorithm fairness
title_sort young people's policy recommendations on algorithm fairness
topic Youth jury; algorithm fairness; youth opinion; deliberation; digital literacy; digital citizenship
privacy; policy
url https://eprints.nottingham.ac.uk/49978/
https://eprints.nottingham.ac.uk/49978/
https://eprints.nottingham.ac.uk/49978/