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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Ecological Implications of Data Centres

PROJECT SUMMARY

Data centre

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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Responsible health consumer data analysis and ADM

PROJECT SUMMARY

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Responsible health consumer data analysis and ADM

Focus Area: Health
Research Program: Data

Health care service providers are increasingly seeking to use advanced data analytics and automated decision making to improving services and for predictive insights. By better understanding the everyday experiences of people living with mental ill-health, for example, services can improve the allocation of resources and enhance health outcomes. Accessing health consumer voices and experiences directly through social data sets (such as online health forums) can have an important impact on optimising decision making, but also raises ethical issues and data management and analysis challenges.

Drawing on cutting edge practices in text data mining and NLP analysis, this project develops a model for ethical and responsible mental health consumer data analysis. It operationalises data partnerships and implements data analysis to improve healthcare work, with a focus on community mental health support, and ethical, inclusive and participatory practices.

RESEARCHERS

ADM+S Chief Investigator Anthony McCosker

Prof Anthony McCosker

Lead Investigator

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ADM+S Investigator Kath Albury

Prof Kath Albury

Associate Investigator

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Daniel Angus

Prof Dan Angus

Associate Investigator

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Jane Farmer

Prof Jane Farmer

Associate Investigator

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Peter Kamstra

Dr Peter Kamstra

Associate Investigator

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Yong-Bin Kang

Dr Yong-Bin Kang

Research Fellow

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PARTNERS

Beyond Blue logo

Beyond Blue

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Infoxchange

Infoxchange

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Reach Out logo

Reach Out

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SANE Australia

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Transparent Machines: From Unpacking Bias to Actionable Explainability

PROJECT SUMMARY

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Transparent Machines: From Unpacking Bias to Actionable Explainability

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

ADMs, their software, algorithms, and models, are often designed as “black boxes” with little efforts placed on understanding how they work. This lack of understanding does not only impact the final users of ADMs, but also the stakeholders and the developers, who need to be accountable for the systems they are creating. This problem is often exacerbated by the inherent bias coming from the data from which the models are often trained on.

Further, the wide-spread usage of deep learning models has led to increasing number of minimally-interpretable models being used, as opposed to traditional models like decision trees, or even Bayesian and statistical machine learning models.

Explanations of models are also needed to reveal potential biases in the models themselves and assist with their debiasing.

This project aims to unpack the biases in models that may come from the underlying data, or biases in software (e.g. a simulation) that could be designed with a specific purpose and angle from the developers’ point-of-view. This project also aims to investigate techniques to generate actionable explanations, for a range of problems and data types and modality, from large-scale unstructured data, to highly varied sensor data and multimodal data.

RESEARCHERS

ADM+S Investigator Flora Salim

Prof Flora Salim

Lead Investigator

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ADM+S Chief Investigator Paul Henman

Prof Paul Henman

Chief Investigator

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ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Chief Investigator

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Daniel Angus

Prof Dan Angus

Associate Investigator

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Jeffrey Chan

Dr Jeffrey Chan

Associate Investigator

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ADM+S Chief Investigator Falk Scholer

Prof Falk Scholer

Associate Investigator

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ADM+S Investigator Damiano Spina

Dr Damiano Spina

Associate Investigator

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ADM+S Investigator Maarten de Rijke

Prof Maarten de Rijke

Partner Investigator

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PARTNERS

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University of Amsterdam

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Quantifying and Measuring Bias and Engagement

PROJECT SUMMARY

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Quantifying and Measuring Bias and Engagement

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

Automated decision making systems and machines – including search engines, intelligent assistants, and recommender systems – are designed, evaluated, and optimised by defining frameworks that model the users who are going to interact with them. These models are typically a simplified representation of users (e.g., using the relevance of items delivered to the user as a surrogate for system quality) to operationalise the development process of such systems. A grand open challenge is to make these frameworks more complete, by including new aspects such as fairness, that are as important as the traditional definitions of quality, to inform the design, evaluation and optimisation of such systems.

Recent developments in machine learning and information access communities attempt to define fairness-aware metrics to incorporate into these frameworks. However, there are a number of research questions related to quantifying and measuring bias and engagement that remain unexplored:

  • Is it possible to measure bias by observing users interacting with search engines, recommender systems, or intelligent assistants?
  • How do users perceive fairness, bias and trust? How can these perceptions be measured effectively?
  • To what extent can sensors in wearable devices and interaction logging (e.g., CTR, app swipes, notification dismissal, etc) inform the measurement of bias and engagement?
  • Are the implicit signals captured from sensors and interaction logs correlated with explicit human ratings w.r.t. bias and engagement?

The research aims to address the research questions above by focusing on information access systems that involve automated decision-making components. This is the case for search engines, intelligent assistants, and recommender systems. The methodologies considered to address these questions include lab user studies (e.g., Wizard of Oz experiments with intelligent assistants), and the use of crowdsourcing platforms (e.g., Amazon Mechanical Turk). The data collection processes include: logging human-system interactions; sensor data collected using wearable devices; and questionnaires.

RESEARCHERS

ADM+S Investigator Damiano Spina

Dr Damiano Spina

Lead Investigator

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator

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Sarah Pink

Prof Sarah Pink

Chief Investigator

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ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Chief Investigator

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ADM+S Associate Investigator Jenny Kennedy

Dr Jenny Kennedy

Associate Investigator

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ADM+S Chief Investigator Falk Scholer

Prof Falk Scholer

Associate Investigator

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ADM+S Investigator Flora Salim

Prof Flora Salim

Associate Investigator

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Danula Hettiachchi

Dr Danula Hettiachchi

Research Fellow

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PARTNERS

ABC logo

Australian Broadcasting Corporation

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AlgorithmWatch Logo

Algorithm Watch (Germany)

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Bendigo Health logo

Bendigo Hospital

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Google Logo

Google Australia

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RMIT ABC Fact Check Logo

RMIT ABC Fact Check

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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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The Coronavirus Impact

PROJECT SUMMARY

COVID19 Stay safe on mobile device

The Coronavirus Impact

Focus Area(s): All
Research Program: Data

Given the role that automated systems are playing in the response to the COVID-19 pandemic, from symptom tracking to the dissemination of (mis-) information, this project contributes to a range of related initiatives across the Centre that respond to the exigencies of the pandemic. The focus of this project will be on issues related to automated data collection, sorting, and response in pandemic contexts, and beyond.

As sensor systems are built out and repurposed to collect data in response to the pandemic, including workplace monitoring, contact tracing, or social distancing compliance, new data streams are being generated which are likely to endure beyond the pandemic for a range of uses and raises a host of issues.

RESEARCHERS

Mark Andrejevic

Prof Mark Andrejevic

Lead Investigator

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Chief Investigator

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ADM+S Chief Investigator Nic Suzor

Prof Nicolas Suzor

Chief Investigator

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Julian Thomas

Prof Julian Thomas

Chief Investigator

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Kimberlee Weatherall

Prof Kimberlee Weatherall

Chief Investigator

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ADM+S Associate Investigator Jake Goldenfein

Dr Jake Goldenfein

Associate Investigator

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ADM+S Chief Investigator Andrew Kenyon

Prof Andrew Kenyon

Associate Investigator

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ADM+S Investigator Ellie Rennie

Prof Ellie Rennie

Associate Investigator

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Andrew Roberts

Prof Andrew Roberts

Associate Investigator

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ADM+S Investigator Robert Sparrow

Prof Robert Sparrow

Associate Investigator

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ADM+S Investigator Haiqing Yu

Assoc Prof Haiqing Yu

Associate Investigator

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ADM+S Investigator Ivana Jurko

Ivana Jurko

Partner Investigator

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ADM+S Investigator Frank Pasquale

Prof Frank Pasquale

Partner Investigator

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PARTNERS

Australian Red Cross Logo

Australian Red Cross

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Brooklyn Law School logo

Brooklyn Law School

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Data and Society logo

Data & Society Research Institute (US)

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OVIC Logo

Victorian Information Commissioner

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When All Data is Health Data

PROJECT SUMMARY

Health worker with patient using tablet

When All Data is Health Data

Focus Area(s): Health
Research Program: Data

Thanks to the development of automated, passive, sensor systems with algorithmic forms of processing and machine learning, a growing range of data has become relevant to processes of diagnosis and care. Google, for example, envisions that smart speakers will one day be able to diagnose the onset of Alzheimer’s before individuals or caregivers notice symptoms, and the same is true for a variety of illnesses and conditions ranging from the flu to depression. By the same token, researchers have scraped publicly available social media posts to search for patterns that correlate online behaviour with medical conditions. As tech companies move further into the health care sector, all kinds of data can do double duty as health data in ways that may have important benefits, but also raise issues of privacy and data protection.

This project considers the ethical issues raised by new streams of health data, including how best to regulate the use of the data, its storage, and the infrastructures that collect it. It will also explore the ethical and practical issues raised by emerging forms of automated diagnostics and develop recommendations for regulating the data collection infrastructure and the health uses that derive from ubiquitous data collection.

RESEARCHERS

Mark Andrejevic

Prof Mark Andrejevic

Lead Investigator

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Chief Investigator

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ADM+S Investigator Kath Albury

Prof Kath Albury

Associate Investigator

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ADM+S Associate Investigator Jake Goldenfein

Dr Jake Goldenfein

Associate Investigator

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ADM+S Investigator Flora Salim

Prof Flora Salim

Associate Investigator

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ADM+S Investigator Robert Sparrow

Prof Robert Sparrow

Associate Investigator

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ADM+S Investigator Damiano Spina

Dr Damiano Spina

Associate Investigator

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ADM+S Investigator Frank Pasquale

Prof Frank Pasquale

Partner Investigator

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PARTNERS

Australian Red Cross Logo

Australian Red Cross

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OVIC Logo

Victorian Information Commissioner

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Everyday Data Cultures

PROJECT SUMMARY

Businessman using cell phone on subway train

Everyday Data Cultures

Focus Area(s): All
Research Program: Data

This project explores the role of everyday data practices and literacies in automated decision-making. The project develops our new conceptual framework of everyday data cultures, which is based on the cultural studies of everyday life. The project will produce a major monograph (forthcoming with Polity Press in 2022).

To test and further elaborate this framework in real-world settings, we undertake a number of additional empirical case studies using a combination of hybrid digital and qualitative methods. The project provides a framework for integrating everyday community experience into data projects in a variety of sectors.

RESEARCHERS

ADM+S Associate Director Jean Burgess

Prof Jean Burgess

Lead Investigator

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator

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ADM+S Investigator Rowan Wilken

Assoc Prof Rowan Wilken

Associate Investigator

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ADM+S Investigator Kath Albury

Prof Kath Albury

Associate Investigator

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Mapping ADM Across Sectors

PROJECT SUMMARY

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Mapping ADM Across Sectors

Focus Area(s): All
Research Program(s): All

Focussing on the historical and conceptual approaches to the relationship between data and automated decision-making (ADM) systems, this project situates key issues in historical context and canvasses the range of theoretical approaches brought to bear on describing ADM and assessing the social issues, concerns, and potentials it invokes.

Given the historical focus on data as a locus of concern (with respect to ownership, privacy, accuracy, bias, security, accountability), the data contribution focusses on issue mapping across sectors. The project compliments and draws on the work being done in other research programs and areas to discern common themes with respect to the issues raised by the collection, storage, and use of data for ADM across object domains.

RESEARCHERS

Mark Andrejevic

Prof Mark Andrejevic

Lead 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 Chief Investigator Heather Horst

Prof Heather Horst

Chief Investigator

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Deborah Lupton

Prof Deborah Lupton

Chief Investigator

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ADM+S Investigator Rowan Wilken

Assoc Prof Rowan Wilken

Associate Investigator

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Paul Henman

Prof Paul Henman

Chief Investigator

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ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Chief Investigator

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ADM+S Chief Investigator Jason Potts

Prof Jason Potts

Chief Investigator

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Diverse Experiences of ADM: Design, Curation and Use

PROJECT SUMMARY

Research Materials

Diverse Experiences of ADM: Design, Curation and Use

Focus Area(s): All
Research Program: People

This project examines the ways in which automated decision-making (ADM) is being integrated into the lives of diverse and non-dominant communities across Australia.

Attending to issues of equity and power, this project explores how different communities shape existing, emerging and future practices of ADM in an effort to understand and develop equitable futures.

RESEARCHERS

ADM+S Chief Investigator Heather Horst

Prof Heather Horst

Lead Investigator

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Deborah Lupton

Prof Deborah Lupton

Lead Investigator

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Sarah Pink

Prof Sarah Pink

Lead Investigator

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Cecily Klim

 

Rakesh Kumar

Rakesh Kumar

PhD Student

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Jackie Leach Scully profile picture

Prof Jackie Leach Scully

Chief Investigator

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Jeni Lee

Jeni Lee

Research Fellow

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Jiyoon Lee

Jiyoon Lee

PhD Student

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Robert Lundberg profile picture

Robert Lundberg

PhD Student

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Iris Maher

Thao Phan

Dr Thao Phan

Research Fellow

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Emma Quilty

Dr Emma Quilty

Research Fellow

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Yolande Strengers

Prof Yolande Strengers

Associate Investigator

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Georgia Van Toorn

Dr Georgia van Toorn

Research Fellow

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Ash Watson

Dr Ash Watson

Research Fellow

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Vaughan Wozniak-O'Connor

Dr Vaughan Wozniak-O’Connor

Research Fellow

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Dr Daniel Featherstone

Dr Daniel Featherstone

Research Fellow

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Indigo Holcombe-James Headshot

Dr Indigo Holcombe-James

Research Fellow

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ADM+S Associate Investigator Jenny Kennedy

Dr Jenny Kennedy

Associate Investigator

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PARTNERS

Consumer Health Forum of Australia Logo

Consumers Health Forum of Australia

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Data and Society logo

Data & Society Research Institute (US)

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Health Consumers NSW

Health Consumers NSW

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Data Ethics, Rights, and Markets

PROJECT SUMMARY

Blurred people moving

Data Ethics, Rights, and Markets

Focus Area(s): All
Research Program: Data

The goal of this project is to contribute to the theoretical “backbone” of the ADM+S Centre and help synthesise the findings from projects in different focus areas and research programs through the creation of an historically informed theoretical overview to the social issues associated with the rise of automated decision-making (ADM).

The project supplements the descriptive mapping project (typologies and taxonomies of ADM) with an issue mapping project that connects directly with the core social concerns of the Centre: fairness, ethics, inclusion, and effectiveness.

RESEARCHERS

Julian Thomas

Prof Julian Thomas

Lead Investigator

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ADM+S Associate Director Jean Burgess

Prof Jean Burgess

Chief Investigator

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Axel Bruns, Chief Investigator with the ADM+S Centre

Prof Axel Bruns

Chief Investigator

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Paul Henman

Prof Paul Henman

Chief Investigator

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ADM+S Chief Investigator Dan Hunter

Prof Dan Hunter

Chief Investigator

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ADM+S Chief Investigator Andrew Kenyon

Prof Andrew Kenyon

Associate Investigator

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator

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ADM+S Investigator Christine Parker

Prof Christine Parker

Chief Investigator

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Sarah Pink

Prof Sarah Pink

Chief Investigator

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Chief Investigator

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ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Chief Investigator

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Kimberlee Weatherall

Prof Kimberlee Weatherall

Chief Investigator

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ADM+S Associate Investigator Jake Goldenfein

Dr Jake Goldenfein

Associate Investigator

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ADM+S Investigator Ivana Jurko

Ivana Jurko

Partner Investigator

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PARTNERS

Australian Red Cross Logo

Australian Red Cross

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Data and Society logo

Data & Society Research Institute (US)

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OVIC Logo

Victorian Information Commissioner

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Automated Content Regulation (Sexuality Education and Health Information)

PROJECT SUMMARY

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Automated Content Regulation (Sexuality Education and Health Information)

Focus Area(s): Health
Research Program: Data

Sexual health organisations in Australia and internationally have expressed frustration regarding the impact of automated platform regulation on their ability to conduct social marketing and sexual health promotion campaigns (and research recruitment) on social media platforms. To address this issue, this project brings together a number of impacted organisations and institutions globally to reveal impacts and develop solutions.

This project will examine how government agencies understand content regulation, how NGOs and health promotion and advocacy organisations experience the implementation of content regulation across the platforms on which they operate, and how platform regulators and moderators might better distinguish between education and information content, and other forms of sexual texts and imagery.

By addressing these issues, this case study will contribute to informing government, institutional and platform policies, and enable affected groups to better voice their stories and achieve redress.

RESEARCHERS

ADM+S Investigator Kath Albury

Prof Kath Albury

Lead Investigator

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator

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ADM+S Chief Investigator Nic Suzor

Prof Nicolas Suzor

Chief Investigator

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Zahra Stardust profile picture

Dr Zahra Stardust

Research Fellow

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Sujith Kumar

Sujith Kumar

Research Assistant

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Joanna Williams

Joanna Williams

PhD Student

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COLLABORATORS AND PROJECT ADVISORS

  • Sally Beadle
    Programme Specialist, UNESCO
  • Pauline Oosterhof
    Research Fellow, Institute of Development Studies (UK)
  • Susie Jolly
    Independent Scholar and Associate, Institute of Development Studies (UK)

Civic Automated Decision-Making

PROJECT SUMMARY

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Civic Automated Decision-Making

Focus Area(s): All
Research Program: Data

This project supplements work on ethical automated decision-making (ADM) with a focus on civic commitments and concerns. It adds a consideration of politics and power to ethical approaches in the area of ADM and civic life.

Such an approach adds an additional layer to the question of whether ADM processes are ethical by considering how they promote civic life and democracy.

RESEARCHERS

Mark Andrejevic

Prof Mark Andrejevic

Lead Investigator

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Axel Bruns, Chief Investigator with the ADM+S Centre

Prof Axel Bruns

Chief Investigator

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ADM+S Associate Director Jean Burgess

Prof Jean Burgess

Chief Investigator

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Chief Investigator

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ADM+S Chief Investigator Nic Suzor

Prof Nicolas Suzor

Chief Investigator

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Julian Thomas

Prof Julian Thomas

Chief Investigator

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Kimberlee Weatherall

Prof Kimberlee Weatherall

Chief Investigator

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ADM+S Associate Investigator Jake Goldenfein

Dr Jake Goldenfein

Associate Investigator

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ADM+S Chief Investigator Andrew Kenyon

Prof Andrew Kenyon

Associate Investigator

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Andrew Roberts

Prof Andrew Roberts

Associate Investigator

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ADM+S Investigator Robert Sparrow

Prof Robert Sparrow

Associate Investigator

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ADM+S Investigator Frank Pasquale

Prof Frank Pasquale

Partner Investigator

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ADM+S Investigator Karen Yeung

Prof Karen Yeung

Partner Investigator

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PARTNERS

Brooklyn Law School logo

Brooklyn Law School

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Data and Society logo

Data & Society Research Institute (US)

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OVIC Logo

Victorian Information Commissioner

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Considerate and Accurate Multi-party Recommender Systems for Constrained Resources

PROJECT SUMMARY

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Considerate and Accurate Multi-party Recommender Systems for Constrained Resources

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

This project will create a next generation recommender system that enables equitable allocation of constrained resources. The project will produce novel hybrid socio-technical methods and resources to create a Considerate and Accurate REcommender System (CARES), evaluated with social science and behavioural economics lenses.

CARES will transform the sharing economy by delivering systems and methods that improve user and non-user experiences, business efficiency, and corporate social responsibility.

RESEARCHERS

ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Lead Investigator

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ADM+S Chief Investigator Christopher Leckie

Prof Christopher Leckie

Chief Investigator

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Julian Thomas

Prof Julian Thomas

Chief Investigator

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Jeffrey Chan

Dr Jeffrey Chan

Associate Investigator

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Danula Hettiachchi

Dr Danula Hettiachchi

Research Fellow

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Indigo Holcombe-James Headshot

Dr Indigo Holcombe-James

Research Fellow

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ADM+S Investigator Flora Salim

Prof Flora Salim

Associate Investigator

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PARTNERS

University of Amsterdam logo

University of Amsterdam

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Decentering ADM: A Review of Automated Decision-Making in the Global South

PROJECT SUMMARY

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Decentering ADM: A Review of Automated Decision-Making in the Global South

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

This project is a review of the current state of ADM implementation, practices and visions in different regions in the Global South. It includes an analysis of academic and grey literature, online resources and interviews with key stakeholders in four underrepresented regions (Latin America, Anglophone Africa, South and Southeast Asia and Pacific Island Archipelagos).

Our focus upon decentering ADM works to challenge dominant narratives of the discourse, practice and adoption of ADM across the world.

RESEARCHERS

ADM+S Chief Investigator Heather Horst

Prof Heather Horst

Lead Investigator

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Edgar Gómez Cruz

Dr Edgar Gómez Cruz

Associate Investigator

Adam Sargent

Dr Adam Sargent

Associate Investigator

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Jolynna Sinanan

Dr Jolynna Sinanan

Associate Investigator

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