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Yaya Lu joins Gradient Institute as Senior Consultant

Yaya’s background includes researcher and business analyst in the Australian Public Service, focusing on generating user-centric outputs to address Whole-of-Government and agency needs. With a degree in Software Engineering (Honours) from The Australian National University she is a passionate advocate for bridging the gap between understanding technology and the people who use it, as well

Policy submission on the regulation of AI and automated decision making

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”.In this submission, Gradient Institute provides perspectives on the regulation of the digital economy in Australia, focusing on AI and Automated


Future.NSW presented by NSW Government held their thought-leadership event on the 2nd May, 2022. The event brought together the public, the private sector, business and industry leaders and experts that help shape NSW Government. NSW Government supports the building of a smarter, customer centric and a fully digital NSW. Working together with NSW residents, the

Caution: metaverse ahead

Gradient Institute’s Chief Practitioner, Lachlan McCalman wrote this latest blog post about the metaverse on Medium. The post argues that the metaverse has the potential to have a profound impact on the world, and as a result, we would be wise to plan conservatively and ensure that this technological convergence helps, rather than hurts, humanity

De-risking automated decisions

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. Many organisations are using AI to make consequential decisions, such as deciding who gets insurance, a loan, or a job. When humans delegate decisions to AI, problems can happen

AI Impact Control Panel

In partnership with Minderoo Foundation, Gradient Institute has released the first version of our AI impact control panel software. This tool helps decision-makers balance and constrain their system’s objectives without having to be ML experts. There is no objectively ‘correct’ solution to this balance of objectives: the answer depends on the values and priorities of

Designing a practical approach to AI fairness

Gradient Institute, along with collaborators from ServiceNow, Vector Institute and The University of Tübingen, just published an article in the January edition of IEEE Computer laying out conceptual foundations for practical assessment of  AI fairness.  The article describes an AI fairness assessment approach developed by the authors along with collaborators from financial institutions,  tech companies

Machine learning helps find links between youth well-being and academic success

In a first-of-its-kind study published in Scientific Reports, machine learning researchers at Gradient Institute, working in partnership with psychology researchers at the Australian National University, have found significant evidence for causal links between students’ self reported well-being and academic outcomes. The complexity and amount of data on students and school factors used in the study

The Responsible AI Index report has launched

The Responsible AI Index report is a study of over 400 Australian-based organisations and their awareness of, intentions around, and use of Responsible AI practices. This report, a first in Australia of its kind, was launched in partnership with IAG, Telstra, Fifth Quadrant CX, and Ethical AI Advisory.  Overall, Australian businesses are classified as Initiating