What we research

CAIDE's research aims to give context to the abstract standards of AI Ethics. Currently, our research is focusing on five key themes: Trustworthy AI, Fairness and AI, Privacy and AI, Transparent AI and Accountable AI

CAIDE 2021 Seed funding projects

We are delighted to fund three excellent projects in our 2021 seed funding round: Pervasive Devices.

Tracking kids: Use and repurposing of wearable and mobile devices

Professor Martin Gibbs (FEIT,) Dr Simon Coghlan (FEIT,) Dr Bjorn Nansen (Arts,) Jane Mavoa (FIET.)

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Tracking Kids
Physical place, digital space

Physical place, digital space, and the pervasive devices that bind them: understanding our ever-connected world

Dr Marc Cheong (FEIT,) Dr Kristal Spreadborough (MDAP,) Dr Aleks Michalewics (MDAP.)

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Research Streams

CAIDE has a series of research streams that cover our areas of interest and ongoing projects.

Art, AI and Digital Ethics

This research stream is led by Dr Vanessa Bartlett, McKenzie Postdoctoral Fellow, School of Culture and Communications, Faculty of Arts

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Pink CPU
Lizard

Animals and AI

RESEARCH THEME: Trustworthy AI

This research stream is led by Dr Simon Coghlan, Senior Research Fellow in Digital Ethics, School of Computing and Information Systems.

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Disembodied Bots

RESEARCH THEME: Accountable AI

This research stream is lead by Co-Director, Professor Jeannie Paterson

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Digital Intermediaries
Explainable AI

Explainable Artificial Intelligence

RESEARCH THEME: Accountable AI

Co-Director of the Centre for AI and Digital Ethics, Professor Tim Miller

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Targeted Advertising

RESEARCH THEME:  Privacy and AI

This research stream is lead by Co-Director, Professor Jeannie Paterson.

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Tinder article picture
Algorithm protest

Edtech

RESEARCH THEME: Accountable AI

This research stream is led by Dr Simon Coghlan, Senior Research Fellow in Digital Ethics, School of Computing and Information Systems.

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Current research projects

Below are our ongoing research projects from across our member faculties and with our partners. At the bottom of this page you can also view CAIDE publications. Our blog postsmedia and thought pieces can be view on our news, media and events page.

Robots

Beyond Anthropomorphism? The AI - Machine - Human - Animal continuum

RESEARCH THEME: Trustworthy AI

This project is a collaboration between the Centre for AI and Digital Ethics and the Digital Society Initiative at the University of Zurich on the AI - Machine - Human - Animal continuum.

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Cockpit Photo

From Pockets to Cockpits: The Cultural Context of Digital Flight Assistants

RESEARCH THEME: Trustworthy AI

This research team is lead by Dr Fabio Mattioli, with funding from CAIDE 2020 Seed funding.

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The Ethics and Practice of AI Localism at a time of COVID-19 and beyond

RESEARCH THEME: Privacy and AI

Research in collaboration with The Institute for Ethics in Artificial Intelligence (IEAI) at the Technical University of Munich and the GovLab at New York University

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AI Localism
Digital Intermediaries

AI in the Home?: Understanding how Australians Use Digital Personal Assistants

RESEARCH THEME: Trustworthy AI

Professor Jeannie Paterson, Co-Director Centre for AI and Digital Ethics and Professor Megan Richardson, Melbourne Law School

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Digital Analysis of Morality as Cooperation

RESEARCH THEME: Fairness and AI

Dr Marc Cheong, Senior Research Fellow in Digital Ethics, School of Computing and Information Systems

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Abstract 5

PhD Research

Woman and Computer

Gendered algorithms: The future as a replica of the discriminative past

RESEARCH THEME: Bias and AI

Sheilla Njoto, PhD Candidate, Faculty of Arts

Developing human-centred explanations for decisions made using AI

RESEARCH THEME: Accountable AI

Henrietta Lyons, PhD Candidate, School of Computing and Information Systems

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Human-centred decision making
Dispute resolution

Online dispute resolution and consumer disputes in Australia

RESEARCH THEME: Accountable AI

Vivi Tan, PhD Candidate, Melbourne Law School

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CAIDE Publications

CAIDE Researchers have published across our areas of expertise in the AI Ethics space.

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Abstract 1