Policy

Gavel resting on circuit boards

Policy submission on the regulation of AI and automated decision making

24 May 2022

Gradient Institute submitted a response to the Department of the Prime Minister and Cabinet’s Digital Technology Taskforce Issues Paper “Positioning Australia as a Leader in Digital Economy Regulation – Automated Decision Making and AI Regulation”.

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De-risking automated decisions

16 March 2022

Today, in collaboration with Minderoo Foundation, we are releasing a report on de-risking automated decisions, which includes practical guidance for AI governance and AI risk management.

Charts showing linear and nonlinear models

Machine learning as a tool for evidence-based policy

23 July 2021

In this article, Gradient’s Dan Steinberg and Finn Lattimore show how machine learning can be used for evidence-based policy. They show how it can capture complex relationships in data, helping mitigate bias from model mis-specification and how regularisation can lead to better causal estimates.

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Preventing AI from deepening social inequality

13 January 2021

An article in The Conversation by Gradient’s Tiberio Caetano and Bill Simpson-Young discussing a technical paper co-written with Australian Human Rights Commission, Consumer Policy Research Centre, CHOICE and CSIRO’s Data61.

Graphical illustration of fairness in binary classification

New tools for fairer AI

24 November 2020

With companies increasingly using AI for decision making in everything from pricing to recruitment, “Addressing the problem of algorithmic bias”, explores how these decision-making systems can result in unfairness.

Cover of AHRC submission paper

Submission to Australian Human Rights Commission

25 May 2020

Gradient Institute Fellow Kimberlee Weatherall and Chief Scientist Tiberio Caetano have written a submission to the Australian Human Rights Commission on their “Human Rights and Technology” discussion paper.

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Gradient Institute Chief Scientist appointed to OECD advisory group on artificial intelligence

15 January 2020

Gradient Institute Chief Scientist Tiberio Caetano has been appointed to the OECD Network of Experts on AI (ONE AI). The expert group provides policy, technical and business input to inform OECD analysis and recommendations. It is a multi-disciplinary and multi-stakeholder group.

Front cover of the AI Ethics Framework discussion paper

Our response to 'Artificial Intelligence: Australia's Ethics Framework'

6 June 2019

Gradient Institute has made a submission as part of the public consultation on the discussion paper “Artificial Intelligence: Australia’s Ethics Framework (A Discussion Paper)”. The paper was developed by CSIRO’s Data61 and released by the Department of Industry, Innovation and Science on 5 April 2019. You can find our submission here.