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Abstract / Description of output
This paper explores the fundamental challenges around fair management of information access when the limits of human attention require algorithmic assistance for ‘€finding the diamond in the coal mountain’. While o‰en named as a key demand from users, the seemingly intuitive concept of fairness has proven to be very difficult to satisfyingly 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 and context and informedness of users, and possibly inherently misleading due to the implied projecting of human intentions onto an algorithmic process.
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 and context and informedness of users, and possibly inherently misleading due to the implied projecting of human intentions onto an algorithmic process.
Original language | English |
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Title of host publication | WebSci '17 Proceedings of the 2017 ACM on Web Science Conference |
Place of Publication | Troy, NY, USA |
Publisher | ACM |
Pages | 391-392 |
Number of pages | 2 |
ISBN (Print) | 978-1-4503-4896-6 |
DOIs | |
Publication status | Published - 25 Jun 2017 |
Event | 2017 ACM on Web Science Conference - Troy, United States Duration: 25 Jun 2017 → 28 Jun 2017 http://websci17.org/ |
Conference
Conference | 2017 ACM on Web Science Conference |
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Abbreviated title | WEBSCI’17 |
Country/Territory | United States |
City | Troy |
Period | 25/06/17 → 28/06/17 |
Internet address |
Fingerprint
Dive into the research topics of 'Algorithmic fairness in online information mediating systems (Extended Abstract)'. Together they form a unique fingerprint.Projects
- 1 Finished
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UnBias: Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy
1/09/16 → 30/11/18
Project: Research