Bosua, Rachelle, Marc Cheong, Karin Clark, Damian Clifford, Simon Coghlan, Chris Culnane, Kobi Leins, Megan Richards. 'Using public data to measure diversity in computer science research communities: A critical data governance perspective,' Computer Law & Security Review, Volume 44, 2022, DOI: https://doi.org/10.1016/j.clsr.2022.105655
Capurro D, Coghlan S, Pires DEV. Preventing Digital Overdiagnosis. JAMA. Published online January 21, 2022. doi:10.1001/jama.2021.22969
Muise, Christian, Vaishak Belle, Paolo Felli, Sheila McIlraith, Tim Miller, Adrian R. Pearce and Liz Sonenberg. (2022) Efficient multi-agent epistemic planning: Teaching planners about nested belief. Artificial Intelligence. Volume 302. https://doi.org/10.1016/j.artint.2021.103605.
Paterson, Jeannie and Yvette Maker. (2022) AI in the Home: Artificial Intelligence and Consumer Protection. To be published in Ernest Lim and Phillip Morgan (eds), The Cambridge Handbook of Private Law and Artificial Intelligence (Cambridge University Press, Forthcoming)
Coghlan, S., D’Alfonso, S. Digital Phenotyping: an Epistemic and Methodological Analysis. Philos. Technol. 34, 1905–1928 (2021). https://doi.org/10.1007/s13347-021-00492-1
Coghlan, Simon, Jenny Waycott, Amanda Lazar, and Barbara Barbosa Neves. 2021. Dignity, Autonomy, and Style of Company: Dimensions Older Adults Consider for Robot Companions. Proc. ACM Hum.-Comput. Interact. 5, CSCW1, Article 104 (April 2021), 25 pages. DOI: https://doi.org/10.1145/3449178
Coghlan, S. Robots and the Possibility of Humanistic Care. Int J of Soc Robotics (2021). https://doi.org/10.1007/s12369-021-00804-7
Coghlan, Simon, Tim Miller and Jeannie Paterson. (2021). Good Proctor or "Big Brother"? Ethics of Online Exam Supervision Technologies. Philosophy and Technology. DOI: https://doi.org/10.1007/s13347-021-00476-1
Coghlan, S., Webber, S., & Carter, M. (2021). Improving ethical attitudes to animals with digital technologies: the case of apes and zoos. Ethics and Information Technology, 23(4), 825-839.
Miller, T. Contrastive Explanation: A Structural-Model Approach. 2021. Knowledge Engineering Review, 36: E14. https://arxiv.org/pdf/1811.03163
Paterson, J., Bush, G. and Miller, T. (2021) "Transparency to contest differential pricing." Computer and Law: Journal for the Australian and New Zealand Societies for Computers and the Law. 93(49.)
Paterson, J., Chang, S., Cheong, M., Culnane, C., Dreyfus, S. and McKay, D 2021, 'The Hidden Harms of Targeted Advertising by Algorithm and Interventions from the Consumer Protection Toolkit,' International Journal on Consumer Law and Practice, vol.9 pp. 1-24.
Paterson, Jeannie, Elise D. Bant, Henry Cooney. (2021) Australian Competition and Consumer Commission v Google: Deterring Misleading Conduct in Digital Privacy Policies. Communications Law - Journal of Computer, Media and Telecommunications Law, vol.26, no.3, pp. 136-148.
Paterson, Jeannie and Mark Taylor "Protecting Privacy in India: The roles of consent and fairness in data protection" (2021) 16(1)The Indian Journal of Law and Technology.
Quinn, T. P., Senadeera, M., Jacobs, S., Coghlan, S., & Le, V. (2021). Trust and medical AI: the challenges we face and the expertise needed to overcome them. Journal of the American Medical Informatics Association, 28(4), 890-894.
Quinn, Thomas P., Stephan Jacobs, Manisha Senadeera, Vuong Le, Simon Coghlan. (2021). The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Artificial Intelligence in Medicine. DOI: https://doi.org/10.1016/j.artmed.2021.102158.
Alon Jacovi, Ana Marasovic, Tim Miller and Yoav Goldberg, 'Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI' FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency March 2021, pp 624-635 https://doi.org/10.1145/3442188.3445923
Marc Cheong, Kobi Leins and Simon Coghlan, 'Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voices' FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency March 2021 Pages 106–115 https://doi.org/10.1145/3442188.3445874
Lyons, H.; Velloso, E.; and Miller, T, 'Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions.' In Proceedings of the Computer-Supported Cooperative Work (CSCW 2021), 2021.
Ronal Singh, Upol Ehsan, Marc Cheong, Mark O. Riedl and Tim Miller, 'LEx: A Framework for Operationalising Layers of AI Explanations.' ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI, March 2021.
Clifford, Damian and Jeannie Paterson, 'Consumer Privacy and Consent: Reform in the Light of Contract and Consumer Protection Law’ (2020) 94 Australian Law Journal 741.
Coghlan, Simon and Kobi Leins, '"Living Robots": Ethical Questions About Xenobots’ (2020) 20(5) The American Journal of Bioethics W1.
Coghlan, Simon and Lucy Sparrow, ‘The “digital animal intuition:” the ethics of violence against animals in video games’ (2020) Ethics and Information Technology.
Coghlan, Simon, Cheong, Marc and Coghlan, Ben, ‘Tracking, tracing, trust: contemplating mitigating the impact of COVID19 through technological interventions,’ (2020) 213 Medical Journal of Australia 6. https://doi.org/10.5694/mja2.50669
Culnane, Christopher and Kobi Leins, ‘Misconceptions in Privacy Protection and Regulation’ (2020) 36(2) Law in Context.
Leins, Kobi, Christopher Culnane and Benjamin IP Rubinstein, ‘Tracking Tracing and Trust: Contemplating Mitigating the Impact of COVID-19 through Technological Interventions’ (2020) 213(1) Medical Journal of Australia.
Leins, Kobi, HanLau, Jey and Baldwin, Tim, ‘Give me Convenience and Giver Her Death: Who Should Decide What Uses of NLP are Appropriate and on What Basis?’ (2020) 58th Annual Meeting of the Association of Computational Linguistics 2908. https://doi.org/10.18653/v1/2020.acl-main.261
Lodders, Adam and Jeannie Marie Paterson, ‘Scrutinising COVIDSafe: Frameworks for evaluating digital contact tracing technologies’ (2020) 45 Alternative Law Journal 153.
Paterson, Jeannie and Elise Bant, ‘Mortgage Broking, Regulatory Failure and Statutory Design’ (2020) 31 Journal of Banking and Finance Law and Practice 7.
Paterson, Jeannie and Elise Bant, ‘Should Australia Introduce a Prohibition on Unfair Trading? Responding to Exploitative Business Systems in Person and Online’ (2020) Journal of Consumer Policy.
Payrovnaziri, Seyedeh Neelufar, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H Chen, Xiuwen Liu and Zhe He, ‘Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review’ (2020) 27(7) Journal of the American Medical Informatics Association 1173.
Quinn, T. P., Senadeera, M., Jacobs, S., Coghlan, S., & Le, V. (2020). Trust and medical AI: the challenges we face and the expertise needed to overcome them. Journal of the American Medical Informatics Association.
Reddy, S., Allan, S., Coghlan, S., & Cooper, P. (2020). A governance model for the application of AI in health care. Journal of the American Medical Informatics Association, 27(3), 491-497.
Vered, M, Howe, P, Miller, T, Sonenberg, L, and Vellosa, E, ‘Demand-Driven Transparency For Monitoring Intelligent Agents’ (2020) 50(3) IEEE Transactions on Human-Machine Systems 264.
Taylor, Mark, and Paterson, Jeannie, 'Protecting Privacy in India: The Role of Consent and Fairness in Data Protection' (2020) 16(1) The Indian Journal of Law and Technology 71-102.
Lederman, R., D'Alfonso, S., Rice, S., Coghlan, S., Wadley, G., & Alvarez-Jimenez, M. (2020). Ethical issues in online health interventions. European Conference on Information Systems (ECIS)
Leins, Kobi, Jey HanLau and Tim Baldwin, ‘Give me Convenience and Giver Her Death: Who Should Decide What Uses of NLP are Appropriate and on What Basis?’ (2020) 58th Annual Meeting of the Association of Computational Linguistics.
Lodders, Adam and Jeannie Marie Paterson, 'Opt-in didn’t work for digital contact tracing in Australia, but does that justify an ‘opt-out’ approach? Not yet – at least in Australia' (Conference Paper, Privacy & Pandemics: Responsible Uses of Technology and Health Data During Times of Crisis — An International Tech and Data Conference, 27–28 October 2020).
Madumal, P, Miller, T, Sonenberg, L, and Vetere, F, ‘Explainable Reinforcement Learning Through a Causal Lens’ in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020. https://ieeexplore.ieee.org/document/9097427/