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
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
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
Our Linkage Grant Proposal “Socially Responsible Insurance in the Age of Artificial Intelligence” has been approved by the Australian Research Council. The project will be led by Gradient Institute Fellow and ANU Professor Seth Lazar, along with Dr Jenny L. Davis and Dr Damian Clifford from the ANU, Gradient Institute Fellow and University of Sydney
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
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
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
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 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