Outputs (2)

“It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency (2019)
Journal Article
Webb, H., Patel, M., Rovatsos, M., Davoust, A., Ceppi, S., Koene, A., …Cano, M. (2019). “It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency. Journal of Information, Communication and Ethics in Society, 17(2), 210-228. https://doi.org/10.1108/jices-11-2018-0092

Purpose
The purpose of this paper is to report on empirical work conducted to open up algorithmic interpretability and transparency. In recent years, significant concerns have arisen regarding the increasing pervasiveness of algorithms and the impac... Read More about “It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency.

Young people's policy recommendations on algorithm fairness
Presentation / Conference Contribution
Perez, E., Koene, A., Portillo, V., Dowthwaite, L., & Cano, M. (2017, June). Young people's policy recommendations on algorithm fairness. Presented at ACM Web Science Conference (WebSci' 17), Troy, New York, USA

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 right... Read More about Young people's policy recommendations on algorithm fairness.