Algorithmic fairness in online information mediating systems.

This paper explores the challenges around fair information access when the limits of human attention require algorithmic assistance for 'finding the diamond in the coal mountain'. While often demanded by users, the seemingly intuitive concept of fairness has proven to be very difficult to...

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主要な著者: Koene, A, Perez Vallejos, E, Webb, H, Patel, M, Jirotka, M, Ceppi, S, Rovatsos, M, Lane, G
フォーマット: Conference item
出版事項: Association for Computing Machinery 2017
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author Koene, A
Perez Vallejos, E
Webb, H
Patel, M
Jirotka, M
Ceppi, S
Rovatsos, M
Lane, G
author_facet Koene, A
Perez Vallejos, E
Webb, H
Patel, M
Jirotka, M
Ceppi, S
Rovatsos, M
Lane, G
author_sort Koene, A
collection OXFORD
description This paper explores the challenges around fair information access when the limits of human attention require algorithmic assistance for 'finding the diamond in the coal mountain'. While often demanded by users, the seemingly intuitive concept of fairness has proven to be very difficult to operationalise for implementation in algorithms. Here we present two pilot studies aimed at getting a better understanding of the conceptualisation of algorithmic fairness by users. The first was a multi-stakeholder focus-group discussion, the second a user experiment/questionnaire. Based on our data we arrive at a picture of fairness that is highly dependent on context and informedness of users, and possibly inherently misleading due to the implied projecting of human intentions onto an algorithmic process.
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spelling oxford-uuid:eecff0a0-5fec-4833-a2cb-22631b0aff9c2022-03-27T11:35:38ZAlgorithmic fairness in online information mediating systems.Conference itemhttp://purl.org/coar/resource_type/c_5794uuid:eecff0a0-5fec-4833-a2cb-22631b0aff9cSymplectic Elements at OxfordAssociation for Computing Machinery2017Koene, APerez Vallejos, EWebb, HPatel, MJirotka, MCeppi, SRovatsos, MLane, GThis paper explores the challenges around fair information access when the limits of human attention require algorithmic assistance for 'finding the diamond in the coal mountain'. While often demanded by users, the seemingly intuitive concept of fairness has proven to be very difficult to operationalise for implementation in algorithms. Here we present two pilot studies aimed at getting a better understanding of the conceptualisation of algorithmic fairness by users. The first was a multi-stakeholder focus-group discussion, the second a user experiment/questionnaire. Based on our data we arrive at a picture of fairness that is highly dependent on context and informedness of users, and possibly inherently misleading due to the implied projecting of human intentions onto an algorithmic process.
spellingShingle Koene, A
Perez Vallejos, E
Webb, H
Patel, M
Jirotka, M
Ceppi, S
Rovatsos, M
Lane, G
Algorithmic fairness in online information mediating systems.
title Algorithmic fairness in online information mediating systems.
title_full Algorithmic fairness in online information mediating systems.
title_fullStr Algorithmic fairness in online information mediating systems.
title_full_unstemmed Algorithmic fairness in online information mediating systems.
title_short Algorithmic fairness in online information mediating systems.
title_sort algorithmic fairness in online information mediating systems
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AT perezvallejose algorithmicfairnessinonlineinformationmediatingsystems
AT webbh algorithmicfairnessinonlineinformationmediatingsystems
AT patelm algorithmicfairnessinonlineinformationmediatingsystems
AT jirotkam algorithmicfairnessinonlineinformationmediatingsystems
AT ceppis algorithmicfairnessinonlineinformationmediatingsystems
AT rovatsosm algorithmicfairnessinonlineinformationmediatingsystems
AT laneg algorithmicfairnessinonlineinformationmediatingsystems