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Gradient Institute policy recommendations for the AI Safety Summit

27 October 2023

Gradient Institute has prepared a policy paper offering recommendations for the AI Safety Summit, which is to be hosted by the UK Prime Minister Rishi Sunak on the 1st and 2nd of November.

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Submission response to AI regulation discussion paper

1 August 2023

Gradient Institute submitted a response to the Department of Industry, Science and Resources' discussion paper “Safe and Responsible AI in Australia”.

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Banking Finance + Oath (BFO) AI-driven marketing in financial services

9 June 2022

The BFO Young Ambassadors collaborated with Gradient Institute to investigate the ethical concerns surrounding the use of AI in financial services. While some areas of the industry, such as credit scoring, have gained awareness of AI ethics, little attention has been given to AI-driven marketing. Developing a thorough understanding of the ethical considerations will help financial services...

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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.

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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.

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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.

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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.

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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.