The Transport and Mobilities Focus Area will focus on challenges such as assuring ethics, transparency, and privacy; addressing existing social inequalities; and understanding the linkages between shared, commercial and public systems of provision.
Automated transport and mobility services have the potential to transform how we live and move. They offer new opportunities to address entrenched inequalities of access to mobility, relating to disability, age, economic status and location.
However, to achieve these possibilities, the development of new technical capacities and data systems needs to be harnessed for the design of future transport and mobility services that fulfil the needs of people and social institutions.
Challenges include assuring ethics, transparency and privacy; addressing existing social inequalities; and understanding the linkages between shared, commercial and public systems of provision.
SCOPING REPORT
The Transport and Mobilities Focus Area scoping study identifies where automated decision-making (ADM) is already present across transport mobilities in Australia (and where relevant overseas), and examines how industry, government and other stakeholders envision it will be part of our futures.
This report presents a desk-based review and qualitative content analysis of 60 industry and policy reports concerned with the future of autonomous transport mobilities. The report is international in scope, but focused on futures likely to affect Australians.
The review examines where automated decision-making in transport is located and how future applications are imagined in these reports. This report synthesises these findings and presents new knowledge and critical insights on the limitations of these future visions.
RESEARCH PROJECTS
This project seeks to generate better understandings of the functions, capacities, and normative role of humans within automated decision systems.
Our premise is that everyone should have the opportunity to benefit from digital technologies: to manage their health, access education and services, participate in cultural activities, organise their finances, follow news and media, and connect with family, friends, and the wider world.
This project investigates the extent to which automated decision-making systems impact the provision of consumer insurance via pricing algorithms which may produce unfair outcomes for particular subsets of society by engaging in proxy and price discrimination.
This project explores the role of testing, prototyping, trialling and other techniques of controlled experimentation for AI and other automated decision-making systems in Australia.
Examining the ways in which automated decision-making systems impact public and shared space via sensors that produce actionable digital simulations, artefacts, and interfaces.
This project seeks to scope several approaches to deal with Automated Decision-Making and Decision-Support Systems-Related Risks (ADM/DSS RR) through norms and provide an evaluation of those approaches for their consideration in regulatory contexts.
In partnership with She’s A Crowd, this research project investigates the shortfalls of automated decision-making (ADM) within the rideshare sector through a short docu-drama.
Working with Brimbank City Council and a wider reference group, the project team will co-design a robust AI governance strategy to guide the policies and practices for the development and deployment of AI systems.
Assessing prospective harms vs prospective benefits associated with ADM as a first step to amelioration.
This project unpicks the detail of the conceptual frameworks that inform ADM as well as the ways they are engaged in the everyday work practices of developers, designers, businesses and policy makers.
By documenting experiences of the so-called 17%, the people who see the world differently, this project reveals biases and threats of automated transport mobilities and also uncovers creative opportunity and innovation.
Flight Paths, Freeways and Railroads is a series of short film vignettes exploring how diverse participants currently experience transport mobilities and how automated technologies might be part of our future lives.
Our research addresses how shifts in and imaginaries of mobilities technologies, services, communities and personal trajectories are changing the landscape of everyday mobility, and reframes emerging automated and connected mobility technologies and data as part of inclusive and diverse everyday worlds and respectful, responsible futures.
Experimenting with creative methods to explore future visions of automated mobilities in Australia.
Identifying the opportunities, enablers and barriers for public interest litigation to promote accountability and fairness in automated decision-making.
What shapes the environmental impacts of data centres cooling infrastructures?
Unpacking the biases in models that may come from the underlying data, or biases in software that could be designed with a specific purpose and angle from the developers’ point-of-view
Examining the challenges to, and opportunities for, liberal and democratic institutions and governance presented by ADM.
Developing a theoretically rich analysis of democracy and freedom given ADM.
Considering ethical approaches in the area of automated decision-making (ADM) and civic life with a focus on civic commitments and concerns.
Exploring the role of everyday data practices and literacies in automated decision-making.
Examining common themes with respect to the issues raised by the collection, storage, and use of data for ADM across object domains.
Examining the ways in which automated decision-making (ADM) is being integrated into the lives of diverse and non-dominant communities across Australia.
Considering ethical approaches in the area of automated decision-making (ADM) and civic life with a focus on civic commitments and concerns.
Considering ethical approaches in the area of automated decision-making (ADM) and civic life with a focus on civic commitments and concerns.
Forming new approaches that combines fairness, privacy and legal guarantees for ADM systems, such as recommender and machine learning based systems.
This project will create a next generation recommender system that enables equitable allocation of constrained resources.
This project is a review of the current state of ADM implementation, practices and visions in different regions in the Global South.