Public Interest Litigation for AI Accountability

PROJECT SUMMARY

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Public Interest Litigation for AI Accountability

Focus Area(s): News and Media, Health, Social Services, Transport and Mobilities
Research Program(s): Institutions 

If you have been harmed by bad automated decision-making, from robots to loan assessments, what can you do to right the wrong? What can the law do to help you? A growing number of public controversies about discriminatory, unpredictable and dangerous automated decision-making has raised questions about the most effective methods of accountability.

Through qualitative interviews with stakeholders (including class action and pro bono lawyers), this project seeks to identify the opportunities, enablers and barriers for public interest litigation to promote accountability and fairness in automated decision-making.

RESEARCHERS

ADM+S Chief Investigator Nic Suzor

Prof Nicolas Suzor

Lead Investigator

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Zahra Stardust profile picture

Dr Zahra Stardust

Research Fellow

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Henry Fraser

Dr Henry Fraser

Research Fellow

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Political Economy of Sex Tech

PROJECT SUMMARY

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Political Economy of Sex Tech

Focus Area(s): News & Media
Research Program(s): Data, Institutions 

Smart sex technologies and networked apps are being used in sex and relationship education, to enhance sexual wellness and to improve sexual and reproductive health. To do so, they collect and process substantial amounts of intimate data. This project examines the political economy of ‘sex tech’ in order to identify how sexual technologies are being governed at scale, how sexual data is being collected, stored, shared and monetised, and how the material benefits of sex tech may be more equitably distributed.

It will provide empirical grounding to enrich scholarship on ethical data governance, predictive profiling and accountability of smart technologies.

RESEARCHERS

Zahra Stardust profile picture

Dr Zahra Stardust

Lead Investigator

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Ecological Implications of Data Centres

PROJECT SUMMARY

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Ecological Implications of Data Centres

Focus Area(s): All
Research Program: Institutions 

The project seeks to understand how companies, public agencies and civil society address the environmental conditions and limitations facing the establishment and management of data centres in urban areas.

A central part of data centre management is heat management: servers produce heat, and as they are gathered in large numbers in close areas, temperatures rise raising the risk of fire. To overcome this, data centre operators have various techniques to cool down these facilities and avoid any risks of data loss caused by fires.

Thus, this project will ask: what shapes the environmental impacts of data centres cooling infrastructures?

In order to address this question, we will take as a case study the rapid growth of data centres in Marseille (France), which is particularly interesting as this city is in a warm climate, making the issue of heat management more difficult there than in the north of Europe.

This project is conducted in collaboration with Dr Clément Marquet (Université de Technologie de Compiègne, France).

RESEARCHERS

ADM+S Investigator Christine Parker

Prof Christine Parker

Lead Investigator

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ADM+S Investigator Fiona Haines

Prof Fiona Haines

Associate Investigator

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Loup Cellard

Dr Loup Cellard

Research Fellow

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ADM+S Investigator Karen Yeung

Prof Karen Yeung

Partner Investigator

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PARTNERS

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Université de Technologie de Compiègne

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Governing ADM Use

PROJECT SUMMARY

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Governing ADM Use

Focus Area(s): All
Research Program: Institutions 

This project examines possibilities for democratic practice, institutions and governance given automated decision-making (ADM). It focuses on challenges to and opportunities for liberal and democratic institutions and governance presented by ADM.

The project aims to bridge analysis of ADM’s deployment across different domains with scholarly literature on republican and positive freedom, the rule of law and liberal democratic rights.

RESEARCHERS

ADM+S Investigator Christine Parker

Prof Christine Parker

Lead Investigator

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Lead Investigator

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ADM+S Associate Investigator Jake Goldenfein

Dr Jake Goldenfein

Associate Investigator

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ADM+S Investigator Fiona Haines

Prof Fiona Haines

Associate Investigator

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Loup Cellard

Dr Loup Cellard

Research Fellow

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ADM+S Investigator Karen Yeung

Prof Karen Yeung

Partner Investigator

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Democratic Practices of Governance Given ADM

PROJECT SUMMARY

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Democratic Practices of Governance Given ADM

Focus Area(s): All
Research Program: Institutions 

This project examines possibilities for democratic practice, institutions and governance given automated decision-making (ADM). It focuses on challenges to and opportunities for liberal and democratic institutions and governance presented by ADM. The project aims to bridge analysis of ADM’s deployment across different domains with scholarly literature on republican and positive freedom, the rule of law and liberal democratic rights.

Overall, the project seeks to develop a theoretically rich analysis of democracy and freedom given ADM and apply the analysis to specific examples of current regulatory and democratic challenge.

RESEARCHERS

ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Lead Investigator

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ADM+S Chief Investigator Andrew Kenyon

Prof Andrew Kenyon

Lead Investigator

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Mark Andrejevic

Prof Mark Andrejevic

Chief Investigator

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ADM+S Investigator Christine Parker

Prof Christine Parker

Chief Investigator

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Julian Thomas

Prof Julian Thomas

Chief Investigator

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ADM+S Associate Investigator Jake Goldenfein

Dr Jake Goldenfein

Associate Investigator

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ADM+S Investigator Fiona Haines

Prof Fiona Haines

Associate Investigator

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Andrew Roberts

Prof Andrew Roberts

Associate Investigator

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Anjalee de Silva

Dr Anjalee de Silva

Research Fellow

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Aitor Jiménez

Dr Aitor Jiménez

Research Fellow

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ADM+S Investigator Ivana Jurko

Ivana Jurko

Partner Investigator

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Automated Decision-Making Empirical Mapping Project

PROJECT SUMMARY

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Automated Decision-Making Empirical Mapping Project

Focus Area(s): All
Research Program: Institutions

This project will develop a theoretical classification to operationalise an empirical mapping program for automated decision-making (ADM). Developing a method that maps ADM in our economy will enable us to track growth and development, and use this as an input into further social science analysis which will be of value for research, strategy and policy.

It will provide much-needed answers to questions including: How much ADM is there in the economy and society? What levels? What distribution? How is it changing through time? How is it distributed by sector, by industry? By demographic?

RESEARCHERS

ADM+S Chief Investigator Jason Potts

Prof Jason Potts

Lead Investigator

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Paul Henman

Prof Paul Henman

Chief Investigator

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Chief Investigator

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Julian Thomas

Prof Julian Thomas

Chief Investigator

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ADM+S Investigator Ivana Jurko

Ivana Jurko

Partner Investigator

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PARTNERS

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Australian Red Cross

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