My research focuses on supporting two-way communication between humans and machines in the context of automating machine learning (ML)/data science life cycle tasks such as data engineering and reporting to stakeholders about fitted models and their fairness, accountability, and transparency (FAT). My research brings together ML/data science, knowledge-based programming, natural language technology and information visualization (InfoVis). I am an inventor on several US patents related to natural language-based AI technology. I am one of the founders of Arria (www.arria.com), a company specializing in data-to-text (D2T) natural language generation (NLG).
On the merits and pitfalls of introducing a digital platform to aid conservation management: Volunteer data submission and the mediating role of volunteer coordinators
Arts, K., Melero, Y., Webster, G., Sharma, N., Tintarev, N., Tait, E., Mellish, C., Sripada, S., MacMaster, A. M., Sutherland, H., Horrill, C., Lambin, X., van der Wal, R.
Journal of Environmental Management, vol. 265, 110497
Towards more effective online environmental information provision through tailored Natural Language Generation: Profiles of Scottish river user groups and an evaluative online experiment
Arts, K., Macleod, C. J. A., Ioris, A. A. R., Han, X., Sripada, S., Braga, J. F., Maffey, G., Jekjantuk, N., Zeng, C., Van der Wal, R.
Science of the Total Environment, vol. 673, pp. 643-655
