ANU is a pioneer in the field of regulation and governance, which aims to understand how various actors, governments and institutions shape the course of events in society. Our researchers are committed to not only understanding how AI-related developments are changing approaches to governance, but also developing innovative proposals to best regulate AI in practice.

Justice and Technoscience Lab

 

JusTech works to ensure that emerging and disruptive technologies are not only accessible and secure, but also regulated appropriately. Its goal is to advance knowledge that can be used to counteract harmful effects of innovation and to promote more equitable social outcomes. It brings together experts from different backgrounds to understand how power asymmetries affect technoscience in practice. In addition to members affiliated with RegNet, the lab maintains partnerships with scholars based at ANU, other Australian research organisations and overseas institutions.

Design Justice AI Institute

 

This project critically considers the rapid diffusion of so-called generative AI: that is, machine learning technologies that simulate human languages, communication, arts, and cultures through the statistical modelling of vast troves of scraped internet data.

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Australian police are trialling AI to analyse body-worn camera footage, despite overseas failures and expert criticism

The increased use of body-worn cameras by law enforcement agencies in recent years follows a number of high-profile cases involving police using force.

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The three questions agencies must ask themselves to use AI responsibly

When it comes to implementing the Government’s new policy on the responsible use of AI, one element in particular will be critical: AI leadership. That’s especially true when it comes to the appointment of ‘accountable officials’. But what matters most when making these appointments? ANU experts Maia Gould and Ellen O’Brien explain.

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Think piece: What does it mean for AI to be ‘trustworthy’?

Fear and mystique surround the rapid emergence of artificial intelligence, with many people wondering whether this transformative new technology can be trusted. But in an important way, AI systems are just like other machines: trust simply comes down to how reliably and safely they can be used for their intended purpose, as Dr Zena Assaad explains.

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Contact

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Kate Henne

Executive member

Decision Making Under Uncertainty, Governance and Regulation, Human Machine Interaction, Transdisciplinary Practise

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Jenna Harb

Decision Making Under Uncertainty, Governance and Regulation, Transdisciplinary Practise

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Charles Gretton

Executive member

AI for Science, Decision Making Under Uncertainty, Governance and Regulation, Market and Computation, Robots and Robotics

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Zena Assaad

Governance and Regulation, Human Machine Interaction

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Greg Baker

AI for Science, Governance and Regulation, Transdisciplinary Practise

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Ned Cooper

Governance and Regulation, Human Machine Interaction

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Sean Donahue

Early Career Researchers Lead

Ethics and Normative Theory, Governance and Regulation

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John Noel Viana

AI for Biomedicine, AI for Science, Ethics and Normative Theory, Governance and Regulation, Transdisciplinary Practise

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Faranak Hardcastle

AI for Biomedicine, Climate Systems and AI, Ethics and Normative Theory, Governance and Regulation, Transdisciplinary Practise

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Glen Berman

Governance and Regulation, Human Machine Interaction