AI and automated decision-making tools promise money and unmatched power to banks and governments alike: not only, so the saying goes, will they know everything about their citizens and customers, but will also be able to predict their behaviour, preferences and opinions. A global consulting firm McKinsey estimates that AI technologies will unlock 1 trillion dollars additional value for global banking industry every year. No wonder, governments around the world are quick to jump on the AI bandwagon, expecting increased efficiency, reduced costs and better insights into their populations. But will AI and automated decision-making meet these promises?
Many of us are researching these cutting-edge issues from different angles and starting points. Some researchers focus on AI-driven innovation in the industry or public sector. Some are passionate about justice and new harms that arise when business and governments automate their decisions. Others look at how AI is transforming wider structures of economy and governance. Yet, we rarely talk to each other.
Divided by artificial disciplinary distinctions of ‘public’ and ‘private’ law, we hardly appreciate that many automated decision-making and AI tools, which governments are eagerly applying today, have been developed and experimented with for decades in the private sector. For example, we do not often talk about how China’s Social Credit System has roots in automated credit scoring in the financial industry. Similarly, we do not discuss how data-enabled fraud detection, used in the Australian Robo-Debt system, has long been a common practice in the banking industry. India’s national ID system Aadhaar incorporates many different automated decision-making and AI tools, such as facial recognition and profiling, long experimented with in the private sector.
As these examples illustrate, technology tools, along with the broader managerial culture, are often transferred from private corporations to government departments. At the same time, governments are the ones funding the initial development of these tools, later to be commercialized by corporations. Corporate and trade secrecy means we simply don’t know how latest technology is used by the industry and what new tools are being developed at the moment. Yet, these tools will soon reach public administrations, and will be incorporated into ever larger Automated States, dealing with welfare, taxes and public money. Such close and mutually reinforcing relationship between the industry and public administration could teach us about the future possibilities and societal dangers of AI and automated decision-making in finance and public administration. It could also teach us about accountability, better regulation, and scrutiny.
In this conference, we want to promote dialogue between the ‘public’ and ‘private’ lawyers and scholars, technology critics, enthusiasts and pessimists about “Money, Power and AI”. Sharing our different perspectives can lead to a more holistic understanding of the shifts that are reshaping our financial and public institutions, our economies and societies.
We invite paper presentations or panel discussions on these themes. Contributions can be conceptual, doctrinal or applied, discussing AI tools in financial sector and/or public administration in different jurisdictions, as well as theoretical, comparative and international approaches. Presentations focusing on both the financial and public institutions are encouraged, but they can also address only specific aspects of either. Contributions might include, but are not limited to, reflections on:
Conference Format & Registration
COVID restrictions permitting, the conference will be held in-person and online:
Both in-person and online registration is free.
Conference Papers & Edited Collection
There are two main types of participation at the conference:
Please send abstracts and panel proposals to email@example.com by 17 September 2021. We will notify you of acceptance by 30 September 2021.
Selected papers will be invited to be published in a post-conference edited collection, titled: “Money, Power and AI: From Automated Banks to Automated States” with around 10 contributions of 6.000-8.000 words. Full papers will need to be provided by 1st March 2022. When sending in your abstract please indicate whether you are interested in contributing to the edited collection, we will provide further details in due course.
Lyria Bennett Moses, Director of the Allens Hub for Technology, Law and Innovation and Professor at the Faculty of Law and Justice, UNSW Sydney
Terry Carney, Emeritus Professor of Law at the University of Sydney Law School, Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society, Fellow of the Australian Academy of Law
Leif Gamertsfelder, General Manager, Group Customer Remediation at Westpac
Michael Guihot, Deputy Chair, Society on Social Impact of Technology Australia and Senior Lecturer at the Queensland University of Technology School of Law
Aurelie Jacquet, chair of the Standards Australia committee representing Australia at the international standards on Artificial Intelligence
Dimity Kingsford Smith, Professor at UNSW Law and Justice, Minter Ellison Chair of Risk and Regulation at UNSW
David Kinley, Chief Investigator of the Financial Services Human Rights Benchmark Project and Professor of Law at the University of Sydney, Chair in Human Rights Law
Ching-Fu Lin, Associate Professor of Law at the National Tsing Hua University, Taiwan
David Lindsay, Professor at the University of Technology Sydney Law School
Rob Nicholls, Associate Professor at the UNSW Business School and Faculty lead at the UNSW Institute for Cyber Security
Justine Nolan, Director of the Australian Human Rights Institute and Professor at the Faculty of Law and Justice, UNSW Sydney
Jeannie Paterson, Co-Director of the Centre for AI and Digital Ethics (CAIDE) and Professor of Law at the University of Melbourne
Edward Santow, Human Rights Commissioner at the Australian Human Rights Commission, leading the Commission’s work on technology and human rights
Kym Sheehan, Chief Investigator of the Financial Services Human Rights Benchmark Project and Senior Lecturer at the University of Sydney Law School
Toby Walsh, ARC Laureate Fellow and Scientia Professor of AI at the UNSW and CSIRO Data61, Adjunct Professor at QUT and Fellow of the Australia Academy of Science
Kimberlee Weatherall, Chief Investigator with the ARC Centre of Excellence for Automated Decision-Making and Society and Professor of Law at the University of Sydney
Conference Hosts and Sponsors
In addition to the hosts and sponsors listed above, this conference is also partially funded by the Australian Research Council Discovery Early Career Research Award (‘Artificial Intelligence Decision-Making, Privacy and Discrimination Laws’, project number DE210101183) and by the Santander Financial institute (SANFI) award for Early Career Researchers (‘Regulating the Use of AI and Big Data in Retail Financial Services: Promoting Innovation and Preventing Consumer Harm’).
We acknowledge the Bedegal people of the Eora Nation that are the Traditional Custodians of this land in which UNSW is situated. We pay our respects to their Elders past, present and emerging.