Outputs (2)

A Practical Taxonomy of TAS-related Usecase Scenarios (2023)
Presentation / Conference Contribution
Masters, P., Young, V., Chamberlain, A., Weerawardhana, S., McKenna, P. E., Lu, Y., Dowthwaite, L., Luff, P., & Moreau, L. (2023, July). A Practical Taxonomy of TAS-related Usecase Scenarios. Presented at Proceedings of the First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

This paper proposes a taxonomy of experimental usecase scenarios to facilitate research into trustworthy autonomous systems (TAS). Unable to identify an open-access repository of usecases to support our research, the project team embarked on developm... Read More about A Practical Taxonomy of TAS-related Usecase Scenarios.

“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., Dowthwaite, L., Portillo, V., Jirotka, M., & 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.