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David_226

Owheo Building, Room 1.25
Tel +64 3 479 5749
Email david.eyers@otago.ac.nz

Before joining the University of Otago, I worked as a senior research associate at the University of Cambridge, from where I was awarded my PhD. My undergraduate degrees (Computer Engineering and Pure Maths) are from UNSW in Sydney, Australia.

My recent research has examined security enforcement and data dissemination mechanisms within wide-area distributed systems. In particular, I have worked with event-based middleware, role-based access control, decentralised information flow control, and try to develop connections between these technologies. My research is of growing importance to cloud and grid computing: large-scale public services, such as electronic health record repositories, must manage sensitive data in a secure manner.

For more information see my research pages

Publications

Knott, A., Pedreschi, D., Jitsuzumi, T., Leavy, S., Eyers, D., Chakraborti, T., Trotman, A., … Bengio, Y. (2024). AI content detection in the emerging information ecosystem: New obligations for media and tech companies. Ethics & Information Technology, 26, 63. doi: 10.1007/s10676-024-09795-1 Journal - Research Article

Sadlier, G., Dixon, D., Luczak-Roesch, M., Galster, M., & Eyers, D. (2024). Science for Technological Innovation (SfTI) Veracity Technology Spearhead: National Data Infrastructure: Blueprint for Aotearoa New Zealand. Wellington, New Zealand: Ministry of Business, Innovation & Employment. Retrieved from https://openaccess.wgtn.ac.nz Working Paper; Discussion Paper; Technical Report

Bhattacharya, A., Chakraborti, T., Basu, S., Knott, A., Teal, P. D., Pedreschi, D., … Eyers, D., & Biecek, P. (2024). Towards a crowdsourced framework for online hate speech moderation: A case study in the Indian political scenario. In R. Heiberger, U. Gadiraju, M. Spaniol, K. Kinder-Kurlanda, A. Faleńska, A. Mashhadi, … S. Staab (Eds.), Proceedings of the 16th ACM Web Science Conference: Reflecting on the web, AI, and society. (pp. 75-84). New York, NY: ACM. doi: 10.1145/3630744.3663607 Conference Contribution - Published proceedings: Full paper

Eyers, D. (2024). Indigenous data sovereignty checks and permissions for code repositories. Proceedings of the eRangahau | eResearch Aotearoa New Zealand 15th Annual Conference: Navigating an Evolving Research Landscape | He Moana Pukepuke e Ekengia e te Waka. Retrieved from https://eresearchnz.co.nz/ Conference Contribution - Published proceedings: Abstract

Knott, A., Pedreschi, D., Chatila, R., Chakraborti, T., Leavy, S., Baeza-Yates, R., Eyers, D., Trotman, A., … Bengio, Y. (2023). Generative AI models should include detection mechanisms as a condition for public release. Ethics & Information Technology, 25(4), 55. doi: 10.1007/s10676-023-09728-4 Journal - Research Article

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