Algorithmic Justice Symposium
Algorithmic Justice Symposium
The University of Newcastle School of Law and Justice, Centre for Law and Social Justice, invites you to participate in its 2023 Algorithmic Justice Symposium.
Algorithmic Justice seeks to identify and address the harms of artificial intelligence, and to harness its benefits. Legal practitioners, courts, tribunals, government justice agencies, and businesses that support those agencies, have been using algorithmic interventions for some time, and the use of algorithmic innovation across legal institutions and legal practice continues to grow. However, those innovations have not been without their challenges.
This symposium will reflect on the advances and challenges of algorithmic intervention in the broader context of justice innovation. How might these changes and challenges continue to be addressed in the justice system? What developments in the field of algorithmic justice innovation might be advanced in the next 5 – 10 years? What are the implications of algorithmic innovations for the law curriculum offered by educational institutions?
View the event program here.
For details on submitting an abstract click here. Submissions close Friday 9 June 2023. Registration for in-person or online attendance is now open.
Keynotes
Terry Carney - Learning From Robodebt: An Algorithmic Justice Thought Experiment?
Terry Carney AO, FAAL is Emeritus Professor of Law at the Law School, University of Sydney. For nearly 40 years he was a part-time member of the AAT and its predecessor dealing with social security appeals. In early 2017 he handed down the first of five decisions finding Robodebt to be unlawful. Following non-renewal of his AAT post he published academic articles exposing the illegality from early 2018. He has written widely on the role of AI and algorithms in welfare and is an Associate Investigator with the ARC Centre of Excellence on ADM and Society.
John Zeleznikow - The Benefits and Negatives of using Artificial Intelligence and Machine Learning in the Judicial System.
John Zeleznikow is a Professor of Law and Technology at La Trobe University in Melbourne Australia. He has conducted research and taught in both Computer Science Departments and Law Schools. In his Split-Up system of the 1990s he pioneered the use of machine learning to support legal decision making. The application area was the distribution of property in Australian Family Law. He followed this up with the use of game theory to support trade-offs and negotiation in legal disputes. He has written 4 books and 102 refereed journal articles, received over $A8.5 million in research grant funding and successfully supervised 20 PHD students. He has a H index of 37, with 4547 citations.
Registration is essential, In-person and online options are available.
Event Information
- Date: This event was held on Friday 14 July 2023
- Location: University of Newcastle Sydney Campus, 55 Elizabeth St, Sydney
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.