Research


Kamande, W., Rheault, C., Gatwiri, M., Duchêne, N., Gachambi, B., & Jauffret, P. (2025, November). Capturing Linguistic Diversity in Data Annotation: Learnings From Reviewing AI Generated Content in Swahili and English. In Proceedings of the 5th Biennial African Human Computer Interaction Conference (pp. 454-458).

Rheault, C., Pasquero, J., Steeves, P., & Pannhasith, K. (2023) Bridging the Communication Gap between ML Engineers and Data Enrichment Workers, https://www.humancomputation.com/assets/wips_demos/HCOMP-23_paper_3159.pdf

Abuhamad, G., & Rheault, C. (2020). Like a Researcher Stating Broader Impact For the Very First Time. arXiv preprint arXiv:2011.13032.

https://arxiv.org/pdf/2011.13032.pdf

Machine Teaching

Tressel, T., Rheault, C., Krol, M., & Tyler, C. (2020, March). An Interactive Approach to Bias Identification in a Machine Teaching Task. In Proceedings of the 25th International Conference on Intelligent User Interfaces Companion (pp. 87-88).

Bias in labelling

Rheault, C., Schell, L., Soulas, D., Tyler, C., Tressel, T., Kroll, M. (2019). The Impact of Visual Representations in a Machine Teaching Interaction. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2019

Position paper - Fair and responsible AI workshop - CHI 2020

Talks