UnBias: emancipating users against algorithmic biases for a trusted digital economy
UnBias is a collaboration between the Horizon Digital Economy Research Institute at the University of Nottingham, the Human Centred Computing group at the University of Oxford and the Centre for Intelligent Systems and their Applications (CISA) at the University of Edinburgh, with creative studio Pr...
主要な著者: | Koene, A, Dowthwaite, L, Lane, G, Webb, H, Portillo, V, Jirotka, M |
---|---|
フォーマット: | Conference item |
出版事項: |
2018
|
類似資料
-
TrustScapes: a visualisation tool to capture stakeholders’ concerns and recommendations about data protection, algorithmic bias, and online safety
著者:: Ito-Jaeger, S, 等
出版事項: (2023) -
TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety
著者:: Sachiyo Ito-Jaeger, 等
出版事項: (2023-06-01) -
“It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency
著者:: Webb, HM, 等
出版事項: (2018) -
“It would be pretty immoral to choose a random algorithm”: opening up algorithmic interpretability and transparency
著者:: Webb, H, 等
出版事項: (2019) -
Judgments in the Sharing Economy: The Effect of User-Generated Trust and Reputation Information on Decision-Making Accuracy and Bias
著者:: Mircea Zloteanu, 等
出版事項: (2021-11-01)