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...
Main Authors: | Koene, A, Dowthwaite, L, Lane, G, Webb, H, Portillo, V, Jirotka, M |
---|---|
Formato: | Conference item |
Publicado em: |
2018
|
Registos relacionados
-
TrustScapes: a visualisation tool to capture stakeholders’ concerns and recommendations about data protection, algorithmic bias, and online safety
Por: Ito-Jaeger, S, et al.
Publicado em: (2023) -
TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety
Por: Sachiyo Ito-Jaeger, et al.
Publicado em: (2023-06-01) -
“It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency
Por: Webb, HM, et al.
Publicado em: (2018) -
“It would be pretty immoral to choose a random algorithm”: opening up algorithmic interpretability and transparency
Por: Webb, H, et al.
Publicado em: (2019) -
Judgments in the Sharing Economy: The Effect of User-Generated Trust and Reputation Information on Decision-Making Accuracy and Bias
Por: Mircea Zloteanu, et al.
Publicado em: (2021-11-01)