Fellow of Higher Education Academy Higher Education Academy
Tom is a research-active lecturer in business analytics, data science and artificial intelligence. His primary research area is in the interactions between businesses and people. He has particular interests in Free and Open-Source Software for Medical Informatics and Large-Scale AI systems that perform Business and Societal functions.
His background is both academic having published across these areas, and business focused; with work having been undertaken in consultancy capacities for some of the most innovative organisations in the UK. The rollout of business implementations of AI systems that address the ethical questions these systems raise are of interest both to his artificial intelligence training and his business background.
Kane T & Novelli N (2019) Technology for Governance, Politics, and Democracy [Special Issue Introduction]. IEEE Technology and Society Magazine, 38 (1), pp. 29-31. https://doi.org/10.1109/mts.2019.2900181
Kane T (Editor) & Novelli N (Editor) (2019) Special Issue on Technology for Governance, Politics, and Democracy. IEEE Technology and Society Magazine, 38 (1), pp. 1-90. https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=8664492
Kobayashi S, Kane T & Paton C (2018) The Privacy and Security Implications of Open Data in Healthcare: A Contribution from the IMIA Open Source Working Group. IMIA Yearbook of Medical Informatics, 27 (01), pp. 041-047. https://doi.org/10.1055/s-0038-1641201
Kane TB (2018) A Framework for Exploring Intelligent Artificial Personhood. In: Muller V (ed.) Philosophy and Theory of Artificial Intelligence. Studies in Applied Philosophy, Epistemology and Rational Ethics. Berlin: Springer, pp. 255-258. https://doi.org/10.1007/978-3-319-96448-5_28