CAIDE Publications
2023
Journal Articles
Han B, Nawaz S, Buchanan G, et al. (2023) Ethical and Pedagogical Impacts of AI in Education. International Conference on Artificial Intelligence in Education. Cham: Springer Nature Switzerland, 2023: 667-673. link.springer.com/chapter/10.1007/978-3-031-36272-9_54.
Han B, Buchanan G, Mckay D. (2023) Learning in the Panopticon: Examining the Potential Impacts of AI Monitoring on Students. Proceedings of the 34th Australian Conference on Human-Computer Interaction. 2022: 9-21. [Best Paper Award] springer.com/chapter/10.1007/978-3-031-36272-9_54
Coghlan, S., & Quinn, T. (2023) Ethics of using artificial intelligence (AI) in veterinary medicine. AI & Soc. https://doi.org/10.1007/s00146-023-01686-1.
Paterson, J. M. (2023). Making robo-advisers careful? Duties of care in providing automated financial advice to consumers. Law and Financial Markets Review, 1–18. https://doi.org/10.1080/17521440.2023.2196027
Paterson, J., M., & Bant, E. (2023) Automated Mistakes: Vitiated Consent and State of Mind Culpability in Algorithmic Contracting. The Culpable Corporate Mind, edited by Bant, E., 1 ed., Bloomsbury Publishing, pp. 255-272. DOI: 10.5040/9781509952410.ch-012.
Lyons, H., Miller, T., & Velloso, E. (2023). Desire for Control, and the Preference for Human Review over Algorithmic Review. Fairness, Accountability, and Transparency, Chicago.
Miller, T. (2023). Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support. https://doi.org/10.48550/ARXIV.2302.12389
Alshehri, A., Miller, T., & Vered, M. (2023). Explainable Goal Recognition: A Framework Based on Weight of Evidence. International Conference on Automation Planning and Scheduling. https://doi.org/10.48550/arXiv.2303.05622
Coghlan, S., Parker, C. (2023) Harm to Nonhuman Animals from AI: a Systematic Account and Framework. Philos. Technol. 36, 25. https://doi.org/10.1007/s13347-023-00627-6
Mavoa, J., Coghlan, S., & Nansen, B. (2023). “It’s About Safety Not Snooping”: Parental Attitudes to Child Tracking Technologies and Geolocation Data. Surveillance & Society, 21(1), 45–60. https://doi.org/10.24908/ss.v21i1.15719
Burrows, R., Mendoza, A., Pedell, S., Sterling, L., Miller, T., & Lopez-Lorca, A. (2023). Technology for societal change: Evaluating a mobile app addressing the emotional needs of people experiencing homelessness. Health Informatics Journal. https://doi.org/10.1177/14604582221146720
Conference Proceedings
Paterson, J. M. (2023, May 4). Misleading Conduct, Soft Law and New Technologies [Presentation]. Supreme Court of Victoria.
Paterson, J. M. (2023, April). Digital Assets, Consumer Protection and the Central Role of Contract in the Metaverse [Seminar]. ADM+S.
Cheong, M., Wildenauer, M., & Bush, G. (2023, April 28). Lost in the Crowd, Ethical Concerns in Crowdsourced Evaluation and Testing of LLMs [Conference Presentation]. https://chatllm23.com/
Rosenstock, S. (2023, April 28). A House of Cards for Language Model Transparency [Conference Presentation]. https://chatllm23.com/
McIntosh, M., & Martin, B. (2023, April 28). More of the same: Rendering of self in LLM writing and feedback processes [Conference Presentation]. https://chatllm23.com/
Le, T. (2023, February 28). Explaining Model Confidence Using Counterfactuals [Conference Presentation]. AAAI Conference. https://www.overleaf.com/project/63fbe0ed775e1a3e86eb3183
2022
Journal Articles
Bosua, R., Cheong, M., Clark, K., Clifford, D., Coghlan, S., Culnane, C., Leins, K., & Richards, M. (2022). Using public data to measure diversity in computer science research communities: A critical data governance perspective. Computer Law & Security Review, 44. https://doi.org/10.1016/j.clsr.2022.105655
Capurro, D., Coghlan, S., Douglas, E., & Pires, V. (2022). Preventing Digital Overdiagnosis. JAMA. https://doi.org/10.1001/jama.2021.22969
Cheong, M. (2022). Ethical Dilemmas for @Celebrities. Ethical Perspectives, 29(1), 139-166. https://doi.org/10.2143/EP.29.1.3290739
Coghlan, S. (2022). The role of ethical reflection and dialogue in conceptualising animal welfare. Journal of Agricultural and Environmental Ethics, 35(3). https://doi.org/10.1007/s10806-022-09888-1
Ferreira, M., Cheong, M., Klein, C., & Alfano, M. (2022). A tragic coalition of the rational and irrational: A threat to collective responses to COVID-19. Taylor & Francis Online, (Philosophical Psychology). https://doi.org/10.1080/09515089.2022.2124907
Klein, C., Reimann, R., Ojea Quintana, I., Cheong, M., Ferreira, M., & Alfano, M. (2022). Attention and counter-framing in the Black Lives Matter movement on Twitter. Humanities & Social Sciences Communications, 9. https://doi.org/10.1057/s41599-022-01384-1
Muise, C., Belle, V., Felli, P., McIlraith, S., Miller, T., Pearce, A., & Sonenberg, L. (2022). Efficient multi-agent epistemic planning: Teaching planners about nested belief. Artificial Intelligence, 302. https://doi.org/10.1016/j.artint.2021.103605
Osborne, M., Glasser, S., & Loveridge, B. (2022). ‘It’s not so scary anymore. It’s actually exhilarating’: A proof-of-concept study using virtual reality technology for music performance training under pressure. ASCILITE Publications. https://doi.org/10.14742/apubs.2022.116
Paterson, J., & Paterson, I., (2022). Australia. In Busch, D., Gortsos, C & McMeel, G., (Eds), Liability of Financial Supervisors and Resolution Authorities. Oxford University Press.
Paterson, J., & Maker, Y. (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). https://doi.org/http://dx.doi.org/10.2139/ssrn.3973179
Webber, S., Cobb, M. L., & Coe, J. (2022). Welfare Through Competence: A Framework for Animal-Centric Technology Design. Frontiers in Veterinary Science, 9. https://doi.org/10.3389/fvets.2022.885973
Conference Proceedings
Bahl, R. (2022, December 20). Transnational Misinformation Experiences Amongst Migrants [Conference Presentation]. ACIS.
Peart, H. (2022, December 20). Strengthening Connection for People with Intellectual Disability in Emergencies: Social Media and Access to Essential Information. [Conference Presentation]. ACIS. https://aisel.aisnet.org/acis2022/34/
Tan, V. (2022, December 15). Consumer Online Dispute Resolution [Conference Presentation]. Australia New Zealand Roundtable.
Abedi, F., Zeleznikow, J., & Esteban De La Rosa, F. (2022, December 14). Benefits and Challenges of Using Artificial Intelligence in Online Dispute Resolution [Conference Presentation]. https://jurix2022.rechtsinformatik.saarland/
Cheong, M. (2022, November 10). Social Media Harms as a Trilemma: Asymmetry, Algorithms, and Audacious Design Choices [Conference Presentation]. IEEE ISTAS 2022. https://www.istas22.org/program/track-11/
Njoto, S., Cheong, M., Lederman, R., McLoughney, A., Ruppanner, L., & Wirth, A. (2022, November 10). Gender Bias in AI Recruitment Systems: A Sociological- and Data Science-based Case Study [Conference Presentation]. IEEE ISTAS 2022. https://www.istas22.org/program/track-11/
Coghlan, S., et al., (2022, September 15). Swipe a Screen or Say the Word: Older Adults' Preferences for Information-seeking with Touchscreen and Voice-User Interfaces [Conference Presentation]. OzCHI '21: Proceedings of the 33rd Australian Conference on Human-Computer Interaction. https://dl.acm.org/doi/abs/10.1145/3520495.3520512
Sheldrick, S., Chang, S., & McKay, D. (2022, July 5). "The Road to (Gundag)AI”: Investigating the Impact of AI on Regional and Remote SMEs [Conference Presentation]. Pacific Asia Conference on Information Systems. https://aisel.aisnet.org/pacis2022/259/
Cohney, S., Burgess, B., Ginsberg, A., & Felten, E. (2022, August 5). Watching the Watchers: Bias and vulnerability in remote proctoring software [Conference Presentation]. Pacific Asia Conference on Information Systems. https://www.usenix.org/conference/usenixsecurity22/presentation/burgess
Klein, C., Cheong, M., Ferreira, M., Sullivan E., & Alfano, M., (2022). The wisdom-of-crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit. In Cherifi, H., Nunzio Mantegna, R., Rocha, L., Cherifi, C., & Micciche, S., (Eds.) [Conference Presentation]. Complex Networks & Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2022 - Volume 1. Springer. https://philarchive.org/rec/KLETWA-4
Yuan, S., Coghlan, S., Lederman, R., & Waycott, J. (2022). Social Robots in Aged Care: Care Staff Experiences and Perspectives on Robot Benefits and Challenges. [Conference Presentation]. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 1–23. https://doi.org/10.1145/3555220
Creative Publications
Bush, G. (2022). Providing a Unique and Poetic Portrayal of Life at CAIDE. Bowen Street Press.
Weiland, W., Bush, G., Lim, M. and Mikho, M. (2022). Scrape Elegy. Science Gallery, Melbourne.
2021
Journal Articles
Coghlan, S., & D'Alfonso, S. (2021). Digital Phenotyping: An Epistemic and Methodological Analysis. Philosophy & Technology, 34. https://doi.org/10.1007/s13347-021-00492-1
Coghlan, S., Waycott, J., Lazar, A., & Barbosa, B. (2021). Dignity, Autonomy, and Style of Company: Dimensions Older Adults Consider for Robot Companions. Proceedings of the ACM on Human-Computer Interaction, 5. https://doi.org/10.1145/3449178
Coghlan, S. (2021). Robots and the Possibility of Humanistic Care. International Journal of Social Robotics. https://doi.org/10.1007/s12369-021-00804-7
Coghlan, S., Miller, T., Paterson, J., & Barbosa, B. (2021). Good Proctor or "Big Brother"? Ethics of Online Exam Supervision Technologies. Philosophy and Technology. 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. https://doi.org/10.1007/s10676-021-09618-7
Miller, T. (2021). Contrastive explanation: a structural-model approach. Knowledge Engineering Review, 36. https://doi.org/10.1017/S0269888921000102
Paterson, J., Bush, G. & 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.) http://classic.austlii.edu.au/au/journals/ANZCompuLawJl/2021/13.pdf
Paterson, J., Chang, S., Cheong, M., Culnane, C., Dreyfus, S. & 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, 9, 1-24. http://hdl.handle.net/11343/295889
Paterson, J., Bant E., & Cooney H., (2021). Australian Competition and Consumer Commission v Google: Deterring Misleading Conduct in Digital Privacy Policies. Communications Law - Journal of Computer, Media and Telecommunications Law, 26, 136-148. http://dx.doi.org/10.2139/ssrn.3973199
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. https://doi.org/10.1093/jamia/ocaa268
Quinn, T. P., Jacobs, S., Senadeera, M., Le, V., & Coghlan, S., (2021). The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2021.102158.
Conference Papers
Jacovi, A., Marasovic, A., Miller, T., & Goldberg, Y. (2021, March 5). Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI [Conference Presentation]. ACM. https://dl.acm.org/doi/10.1145/3442188.3445923
Cheong, M., Leins, K., & Coghlan, S. (2021, March 5). Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voices. [Conference Presentation]. ACM. https://dl.acm.org/doi/10.1145/3442188.3445874
Lyons, H.; Velloso, E.; and Miller, T. (2021, October 23). Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions. [Conference Presentation]. CSCW. https://cscw.acm.org/2021/
Singh, R., Ehsan, U., Cheong, M., Riedl, M., & Miller, T. (2021, March 5). LEx: A Framework for Operationalising Layers of AI Explanations. [Conference Presentation]. CHI 2021. https://chi2021.acm.org/
2020
Journal Articles
Clifford, D., & Paterson, J. (2020). Consumer privacy and consent: Reform in the light of contract and consumer protection law. Australian Law Journal, 94(10), 741–751. https://search.informit.org/doi/10.3316/agispt.20201006037702
Coghlan, S., & Leins, K., (2020). "Living Robots": Ethical Questions About Xenobots. The American Journal of Bioethics, 20(5), W1-W3. https://doi.org/10.1080/15265161.2020.1746102
Coghlan, S., & Sparrow, L., (2020). ‘The “digital animal intuition:” the ethics of violence against animals in video games. Ethics and Information Technology, 23, 215-224. https://doi.org/10.1007/s10676-020-09557-9
Coghlan, S., Cheong, M., & Coghlan, B., (2020). Tracking, tracing, trust: contemplating mitigating the impact of COVID19 through technological interventions. Medical Journal of Australia, 213(6). https://doi.org/10.5694/mja2.50669
Culnane, C., & Leins, K., (2020). Misconceptions in Privacy Protection and Regulation. Law in Context, 36(2). https://journals.latrobe.edu.au/index.php/law-in-context/article/view/110
Leins, K., Culnane, C., & Rubinstein, B., (2020). Tracking Tracing and Trust: Contemplating Mitigating the Impact of COVID-19 through Technological Interventions. Medical Journal of Australia, 213(1). doi: 10.5694/mja2.50669
Leins, K., Jey, H., & Baldwin, T., (2020). Give me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate and on What Basis? Association for Computational Linguistics, 58th Annual Meeting of the Association of Computational Linguistics, 2908-2913. https://doi.org/10.18653/v1/2020.acl-main.261
Lodders, A., & Paterson, J., (2020). Scrutinising COVIDSafe: Frameworks for evaluating digital contact tracing technologies. Alternative Law Journal, 45(3), 153. https://doi.org/10.1177/1037969X209482
Paterson, J., & Bant, E., (2020). Mortgage Broking, Regulatory Failure and Statutory Design. Journal of Banking and Finance Law and Practice, 31(7), 7-21.
Paterson, J., & Bant, E., (2020). Should Australia Introduce a Prohibition on Unfair Trading? Responding to Exploitative Business Systems in Person and Online. Journal of Consumer Policy. 44, 1-19.
Payrovnaziri, S., Chen, Z., Rengifo-Moreno, P., Miller, T., Bian, J., Chen, J., Liu, X., & He, Z., (2020). Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. Journal of the American Medical Informatics Association, 27(7), 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.
Taylor, M., & Paterson, J. (2020). Protecting Privacy in India: The roles of consent and fairness in data protection. Indian Journal of Law and Technology, 16(1), 71-102.
Vered, M, Howe, P, Miller, T, Sonenberg, L, & Vellosa, E, (2020). Demand-Driven Transparency For Monitoring Intelligent Agents. IEEE Transactions on Human-Machine Systems, 50(3), 264.
Conference Papers
Lederman, R., D'Alfonso, S., Rice, S., Coghlan, S., Wadley, G., & Alvarez-Jimenez, M. (2020). Ethical issues in online health interventions. [Conference Presentation]. European Conference on Information Systems (ECIS).
Leins, K., Jey, H. L., & Baldwin, T., (2020). Give me Convenience and Giver Her Death: Who Should Decide What Uses of NLP are Appropriate and on What Basis? [Conference Presentation]. 58th Annual Meeting of the Association of Computational Linguistics. https://www.aclweb.org/anthology/2020.acl-main.261/
Lodders, A., & Paterson, J., (2020, October 27). 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 Presentation]. Privacy & Pandemics: Responsible Uses of Technology and Health Data During Times of Crisis — An International Tech and Data Conference.
Madumal, P., Miller, T., Sonenberg, L., & Vetere, F., (2020). Explainable Reinforcement Learning Through a Causal Lens. [Conference Presentation]. Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020. https://ieeexplore.ieee.org/document/9097427/