Publications

From ethics to decision making, HMI researches published great range of work during the duration of the Grand Challenges. You can find the list of publications below:

2022

  • Rules in information sharing for security, Janet Chan, Sarah Logan, and Lyria Bennett Moses, Criminology & Criminal Justice, 2022 
  • What’s wrong with Automated Influence, Claire Benn, and Seth Lazar, Canadian Journal of Philosophy, 2022 
  • Algorithmic and human decision making: for a double standard of transparency, Mario Günther, and Atoosa Kasirzadeh, AI & SOCIETY, 2022 
  • Counterfactuals for causal responsibility in legal contexts, Holger Andreas, Matthias Armgardt, and Mario Gunther, Artificial intelligence and law, 2022 
  • The Political Philosophy of Data and AI, Annette Zimmermann, Kate Vredenburgh, and Seth Lazar, Canadian Journal of Philosophy, 2022 
  • Using public data to measure diversity in computer science research communities: A critical data governance perspective, Rachelle Bosua, Marc Cheong, Karin Clark, Damian Clifford, Simon Coghlan, Chris Culnane, Kobi Leins, and Megan Richardson, Computer Law & Security Review, 2022 
  • Bayesian Modelling of the Well-Made Surprise, Patrick Chieppe, Penny Sweetser, and Eryn Newman, 2022 
  • An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability, Sabrina Caldwell, Penny Sweetser, Nicholas O’Donnell, Matthew J Knight, Matthew Aitchison, Tom Gedeon, Daniel Johnson, Margot Brereton, Marcus Gallagher, and David Conroy, ACM Transactions on Interactive Intelligent Systems (TiiS), 2022 
  • Data protection and consumer protection: The empowerment of the citizen-consumer, Damian Clifford, Research Handbook on Privacy and Data Protection Law, 2022 
  • Information technology & media sociology in a (still) pandemic world, Jenny L Davis, Dustin Kidd, Muyang Li, Rachel Aalders, and Tyler Burgese, Information, Communication & Society, 2022 
  • Intersecting matters:# GeorgeFloyd and\# COVID19, Jenny L Davis, and Tony P Love, First Monday, 2022 
  • Gender Dynamics in Human-AI Role-Taking, Jenny L Davis, Daniel B Shank, Tony P Love, Courtney Stefanik, and Abigail Wilson, Advances in Group Processes, 2022 
  • Mapping Topics in 100,000 Real-Life Moral Dilemmas, Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran, Minjeong Shin, Nicholas George Carroll, Colin Klein, and Lexing Xie, Proceedings of the International AAAI Conference on Web and Social Media, 2022 
  • Stochastic Policies in Morally Constrained (C-) SSPs, Charles Evans, Claire Benn, Ignacio Ojea Quintana, Pamela Robinson, and Sylvie Thiébaux, Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022 
  • Fostering Responsible Computing Research: Foundations and Practices, B Grosz, Ackerman M, S. M. Bellovin, M. F. Cuéllar, D. Danks, M Finn, M. L. Gray, JL. Hennessy, A. M Howard, J. M. Kleinberg, S. Lazar, J Manyika, J Mickens, and A. Stent, 2022 
  • Curriculum Generation and Sequencing for Deep Reinforcement Learning in StarCraft II, Daniel Hao, Penny Sweetser, and Matthew Aitchison, Australasian Computer Science Week 2022, 2022 
  • GAN-Assisted YUV Pixel Art Generation, Zhouyang Jiang, and Penny Sweetser, AI 2021: Advances in Artificial Intelligence: 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2--4, 2022, Proceedings, 2022 
  • Partially observable markov decision processes and robotics, Hanna Kurniawati, Annual Review of Control, Robotics, and Autonomous Systems, 2022 
  • Power and AI: Nature and Justification, Seth Lazar, 2022 
  • Whose advantage? Measuring attention dynamics across YouTube and Twitter on controversial topics, JooYoung Lee, Siqi Wu, Ali Mert Ertugrul, Yu-Ru Lin, and Lexing Xie, Proceedings of the International AAAI Conference on Web and Social Media, 2022 
  • Smallset Timelines: A Visual Representation of Data Preprocessing Decisions, Lydia R Lucchesi, Petra M Kuhnert, Jenny L Davis, and Lexing Xie, 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022 
  • Human-Computer Interaction and Coevolution in Science AI Robotics, Yoshihiro Maruyama, HCI International 2022--Late Breaking Posters: 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26--July 1, 2022, Proceedings, Part II, 2022 
  • The Rise and Rise Again of Digital Assets – Reconceptualising Data as Property, A Ray, D. Clifford, and H Roberts, 2022
  • The Effect of Using an Auto-Generated Anime Avatar on Player-Avatar Identification, Yutong Wang, and Penny Sweetser, Australasian Computer Science Week 2022, 2022 
  • Transformative experience, awareness growth and the limits of rational planning, Katie Steele, and H Orri Stefansson, Philosophy of Science, 2022 
  • Coding legal norms: an exploratory essay, Will Bateman, Regulatory Insights on Artificial Intelligence, 2022 
  • Supererogation and Optimisation, Christian Barry, and Seth Lazar, Australasian Journal of Philosophy, 2022 
  • Hold Your Friends Close: Countering Radicalization in Britain and America, Sarah Logan, 2022 
  • Fair Wrapping for Black-box Predictions, Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Y. Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, and Lexing Xie, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 

2021

  • Deontological decision theory and lesser-evil options, Seth Lazar, and Peter A Graham, Synthese, 2021 
  • Technologically scaffolded atypical cognition: The case of YouTube’s recommender system, Mark Alfano, Amir Ebrahimi Fard, J Adam Carter, Peter Clutton, and Colin Klein, Synthese, 2021 
  • Supererogation and sequence, Adam Bales, and Claire Benn, Synthese, 2021 
  • The Internet of Things (IoT) and the Meaning of'personal data': a Case Study in Regulation of Rights, Megan Richardson, Damien Clifford, Karin Clarke, and R Bosua, Revue Européenne de Droit de la Consommation/European Journal of Consumer Law, 2021 
  • How to be imprecise and yet immune to sure loss, Katie Steele, Synthese, 2021 
  • Belief revision for growing awareness, Katie Steele, and H Orri Stefánsson, Mind, 2021 
  • Gender as Emotive AI and the Case of ‘Nadia’: Regulatory and Ethical Implications, Nora Ni Loideain, Rachel Adams, and Damian Clifford, Rachel and Clifford, Damian, Gender as Emotive AI and the Case of ‘Nadia’: Regulatory and Ethical Implications (June 2, 2021), 2021 
  • Adtech and children's data rights, Lisa Archbold, Damian Clifford, Moira Paterson, Megan Richardson, and Normann Witzleb, University of New South Wales Law Journal, The, 2021 
  • Children's privacy in lockdown: Intersections between privacy, participation and protection rights in a pandemic, Faith Gordon, Damian Clifford, Lisa Archbold, and Valerie Verdoodt, Law, Technology and Humans, 2021 
  • Reducing moral ambiguity in partially observed human–robot interactions, Claire Benn, and Alban Grastien, Advanced Robotics, 2021 
  • Philosophical specification of empathetic ethical artificial intelligence, Michael Timothy Bennett, and Yoshihiro Maruyama, IEEE Transactions on Cognitive and Developmental Systems, 2021 
  • Emotional consequences and attention rewards: the social effects of ratings on Reddit, Jenny L Davis, and Timothy Graham, Information, Communication & Society, 2021 
  • Algorithmic reparation, Jenny L Davis, Apryl Williams, and Michael W Yang, Big Data & Society, 2021 
  • Trust and Safety, S Kate Devitt, Rachel Horne, Zena Assaad, Ellen Broad, Hanna Kurniawati, Beth Cardier, Andrew Scott, Seth Lazar, Maia Gould, Chelle Adamson, and others, arXiv preprint arXiv:2104.06512, 2021 
  • Multidisciplinary collaboration on discrimination--not just “Nice to Have”, Chris Dolman, Edward Jed Frees, and Fei Huang, Annals of Actuarial Science, 2021 
  • Embracing Difference: Governance of Critical Technologies in the Indo-Pacific, Jolyon Ford, Damian Clifford, and others, 2021 
  • Proceedings of the 2021 AAAI/ACM Artificial Intelligence, Ethics, and Society Conference, M Fourcade, B Kuipers, S Lazar, and D Mulligan, 2021
  • Computing Plans that Signal Normative Compliance, Alban Grastien, Claire Benn, and Sylvie Thiébaux, Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021 
  • Dark patterns and the legal requirements of consent banners: An interaction criticism perspective, Colin M Gray, Cristiana Santos, Nataliia Bielova, Michael Toth, and Damian Clifford, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021 
  • Epistemic sensitivity and evidence, Mario Günther, Inquiry, 2021 
  • Difference-Making Causation, Mario Günther, and Holger Andreas, The Journal of Philosophy, 2021 
  • Regularity and inferential theories of causation, Holger Andreas, and Mario Guenther, 2021 
  • On statistical criteria of algorithmic fairness, Brian Hedden, Philosophy and Public Affairs, 2021 
  • An on-line POMDP solver for continuous observation spaces, Marcus Hoerger, and Hanna Kurniawati, 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 
  • A new role for mathematics in empirical sciences, Atoosa Kasirzadeh, Philosophy of science, 2021 
  • Reasons, values, stakeholders: A philosophical framework for explainable artificial intelligence, Atoosa Kasirzadeh, arXiv preprint arXiv:2103.00752, 2021 
  • Counter Countermathematical Explanations, Atoosa Kasirzadeh, Erkenntnis, 2021 
  • Fairness and Data Protection Impact Assessments, Atoosa Kasirzadeh, and Damian Clifford, Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021 
  • The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems, Atoosa Kasirzadeh, and Colin Klein, Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021 
  • The use and misuse of counterfactuals in ethical machine learning, Atoosa Kasirzadeh, and Andrew Smart, Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021 
  • Do we represent peripersonal space, Colin Klein, The World at Our Fingertips: A Multidisciplinary Exploration of Peripersonal Space, 2021 
  • What Is the Job of the Job Description Challenge? A Study in Esoteric and Exoteric Semantics, Colin Klein, and Peter Clutton, Neural Mechanisms, 2021 
  • Special issue on The Political Philosophy of Data and AI, R Kumar, S Lazar, K Vredenburgh, and A Zimmermann, 2021
  • Know Thyself: Epistemic Security in the Australian Context, S Logan, 2021
  • Racial Differences in Women’s Role-Taking Accuracy: How Status Matters, Tony P Love, and Jenny L Davis, Sociological Science, 2021 
  • Moral Philosophy of Artificial General Intelligence: Agency and Responsibility, Yoshihiro Maruyama, International Conference on Artificial General Intelligence, 2021 
  • Categorical artificial intelligence: the integration of symbolic and statistical AI for verifiable, ethical, and trustworthy AI, Yoshihiro Maruyama, International Conference on Artificial General Intelligence, 2021 
  • Quantum fair machine learning, Elija Perrier, Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021 
  • Modelling Ethical Algorithms in Autonomous Vehicles Using Crash Data, Pamela Robinson, Landy Sun, Heidi Furey, Ryan Jenkins, Christopher RM Phillips, Thomas M Powers, Ryan S Ritterson, Yuanchang Xie, Rocco Casagrande, and Nicholas G Evans, IEEE Transactions on Intelligent Transportation Systems, 2021 
  • Learning from the Shape of Data, Sarita Rosenstock, Philosophy of Science, 2021 
  • Non-Deterministic Conformant Planning Using a Counterexample-Guided Incremental Compilation to Classical Planning, Enrico Scala, and Alban Grastien, Proceedings of the International Conference on Automated Planning and Scheduling, 2021 
  • Attentionflow: visualising influence in networks of time series, Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Mathews, Rong Wang, Georgiana Lyall, and Lexing Xie, Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021 
  • On the Variance of the Fisher Information for Deep Learning, Alexander Soen, and Ke Sun, Advances in Neural Information Processing Systems, 2021 
  • Beyond uncertainty: Reasoning with unknown possibilities, Katie Steele, and H Orri Stefánsson, 2021 
  • Radflow: A recurrent, aggregated, and decomposable model for networks of time series, Alasdair Tran, Alexander Mathews, Cheng Soon Ong, and Lexing Xie, Proceedings of the Web Conference 2021, 2021 
  • Constitutional Challenges in the Emotional AI Era, P Valcke, D Clifford, and V. K. Steponėnaitė, Constitutional Challenges in the Algorithmic Society, 2021
  • Esports and the Platforming of Child’s Play During covid-19, Valerie Verdoodt, Robbie Fordyce, Lisa Archbold, Faith Gordon, and Damian Clifford, The International Journal of Children's Rights, 2021 
  • Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives, Siqi Wu, and Paul Resnick, Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021 
  • Learning to deceive in multi-agent hidden role games, Matthew Aitchison, Lyndon Benke, and Penny Sweetser, Deceptive AI: First International Workshop, DeceptECAI 2020, Santiago de Compostela, Spain, August 30, 2020 and Second International Workshop, DeceptAI 2021, Montreal, Canada, August 19, 2021, Proceedings 1, 2021 
  • The affiliative use of emoji and hashtags in the Black Lives Matter movement: A Twitter case study, Mark Alfano, Ritsaart Reimann, Ignacio Quintana, Marc Cheong, and Colin Klein, 2021 
  • Is Normative Uncertainty Irrelevant if Your Descriptive Uncertainty Depends on It?, Pamela Robinson, Pacific Philosophical Quarterly, 2021 
  • 11 Incommensurability That Can (not) Be Ignored, Katie Steele, Value Incommensurability, 2021 
  • Hashtag Convergence:# georgefloyd and\# covid19, Jenny L Davis, and Tony P Love, 2021 
  • Why Time Discounting Should Be Exponential: A Reply to Callender, Katie Steele, 2021 

Commissioned

  • Philosophical Studies special issue ‘AI and Normative Theory’, C Benn, T Karhu, S Lazar, and P Robinson, Commissioned
  • Synthese special issue ‘Philosophy of Science in Light of AI’, A Kasirzadeh, D Danks, and Rosenstock, Commissioned

Forthcoming

  • Fairness in EU Data Protection Law, D Clifford, Oxford Encyclopaedia of EU Law, Forthcoming
  • Artificial Intelligence and Sensitive Inferences: Protecting Sensitive Personal Data in the Age of Anxiety, D. Clifford, M; Richardson, and N Witzleb, Regulatory Insights on Artificial Intelligence: Research for Policy, Forthcoming
  • Mind Design III: Philosophy, Psychology, and Artificial Intelligence, J Haugeland, C. F. Craver, and C Klein, Forthcoming

2020

  • Causation in terms of production, Holger Andreas, and Mario Günther, Philosophical Studies, 2020 
  • The rationally supererogatory, Claire Benn, and Adam Bales, Mind, 2020 
  • SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy, Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon, and Lexing Xie, arXiv preprint arXiv:2010.02568, 2020 
  • Consumer privacy and consent: Reform in the light of contract and consumer protection law, Damian Clifford, and Jeannie Marie Paterson, Australian Law Journal, 2020 
  • How artifacts afford: The power and politics of everyday things, Jenny L Davis, 2020 
  • Should I Use That Rating Factor? A Philosophical Approach to an Old Problem, C Dolman, S Lazar, T Caetano, and D Semenovich, 2020
  • CPCES: A planning framework to solve conformant planning problems through a counterexample guided refinement, Alban Grastien, and Enrico Scala, Artificial Intelligence, 2020 
  • Why and How Explanations Matter: Connecting Moral and Technical Dimensions of Algorithmic Decision-making, A Kasirzadeh, 2020
  • Polychrony and the Process View of Computation, Colin Klein, Philosophy of Science, 2020 
  • Describing and predicting online items with reshare cascades via dual mixture self-exciting processes, Quyu Kong, Marian-Andrei Rizoiu, and Lexing Xie, Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020 
  • Modeling information cascades with self-exciting processes via generalized epidemic models, Quyu Kong, Marian-Andrei Rizoiu, and Lexing Xie, proceedings of the 13th international conference on web search and data mining, 2020 
  • Attributions of ethical responsibility by Artificial Intelligence practitioners, Will Orr, and Jenny L Davis, Information, Communication & Society, 2020 
  • Learning Domain-Independent Planning Heuristics with Hypergraph Networks, William Shen, Felipe Trevizan, and Sylvie Thiébaux, Proceedings of the International Conference on Automated Planning and Scheduling, 2020 
  • Decision Theory, K Steele, and H. Orri Stefánsson, 2020 
  • Asnets: Deep Learning for Generalised Planning, Sam Toyer, Sylvie Thiébaux, Felipe Trevizan, and Lexing Xie, The Journal of artificial intelligence research, 2020 
  • Transform and Tell: Entity-Aware News Image Captioning, Alasdair Tran, Alexander Mathews, and Lexing Xie, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 
  • Variation across Scales: Measurement Fidelity under Twitter Data Sampling, Siqi Wu, Marian-Andrei Rizoiu, and Lexing Xie, Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020 
  • Computing superior counter-examples for conformant planning, Xiaodi Zhang, Alban Grastien, and Enrico Scala, Proceedings of the AAAI Conference on Artificial Intelligence, 2020 

2019

  • Artificial Intelligence, Administrative Law and Financial Regulation, Will Bateman, 2019 
  • Algorithmic Decision-Making and Legality: Public Law Dimensions, Will Bateman, Australian Law Journal, 2019 
  • Child Pornography in the Digital Age: A Conceptual Muddle, Claire Benn, Pornography: Interdisciplinary Perspectives, 2019
  • Playtest and the Power of Virtual Reality: Are Our Fears Real?, Claire Benn, Black Mirror and Philosophy: Dark Reflections, 2019 
  • Special Issue on Norms for Risk, R Bolinger, S Lazar, and A Hájek, 2019
  • Mathematical decisions and non-causal elements of explainable AI, Atoosa Kasirzadeh, arXiv preprint arXiv:1910.13607, 2019 
  • Estimating attention flow in online video networks, Siqi Wu, Marian-Andrei Rizoiu, and Lexing Xie, Proceedings of the ACM on Human-Computer Interaction, 2019 
  • Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics, Nicholas Collins, and Hanna Kurniawati, arXiv preprint arXiv:1907.04457, 2019 
  • From rule of law to statute drafting: legal issues for algorithms in government decision-making, Monika Zalnieriute, Lisa Burton, Janina Boughey, Lyria Bennett Moses, and Sarah Logan, The Cambridge Handbook of the Law of Algorithms (Cambridge University Press 2021), 2019 
  • The legal limits to the monetisation of online emotions, Damian Clifford, 2019 

2018

  • When it’s good to feel bad: An evolutionary model of guilt and apology, Sarita Rosenstock, and Cailin O’Connor, Frontiers in Robotics and AI, 2018 

2017

  • Citizen-consumers in a personalised Galaxy: Emotion influenced decision-making, a true path to the dark side?, Damian Clifford, Future Law: Emerging Technology, Regulation and Ethics , FUTURE LAW, 2017 

n.d.

  • Epistemic Dependence on Intelligent Instruments (extended abstract) , P Robinson, Synthese special issue of philosophy of science in light of AI workshop, n.d.

n.d.

  • Privacy law issues paper for the Tasmanian Law Reform Institute , D Clifford, D Stewart, and Gligorijevic, n.d.
  • Moral Deference to Machines (extended abstract), P Robinson, Philosophical Studies special issue on normative theory and AI workshop, n.d.