Responsible Artificial Intelligence
We are an independent, nonprofit research institute that works to build ethics, accountability and transparency into AI systems: developing new algorithms, training organisations operating AI systems and providing technical guidance for AI policy development.
Latest News
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,…
Welcome to the Ethical AI team
We are excited to announce that Gradient Institute and Ethical AI Advisory have joined together! We have been working together as partners for the last year and realised how complementary we were – with Gradient working on the technical aspects of ensuring AI is…
Machine learning as a tool for evidence-based policy
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.
AI-LEAP Call for Papers
AI-LEAP is a new Australia-based conference aiming at exploring Artificial Intelligence (AI) from a multitude of perspectives: Legal, Ethical, Algorithmic and Political (LEAP). It draws broadly on computer science, social sciences and humanities to provide an exciting intellectual forum for a genuinely interdisciplinary exchange…
Gradient provides AI Primer for National AI Summit
At the request of the Australian Government’s Department of Industry, Science, Energy and Resources, Gradient Institute provided an interactive “Artificial Intelligence Primer” training session for attendees at the National AI Summit.
Case Studies
ACT Education Directorate
Gradient Institute is developing new techniques and tools for machine learning based causal inference and working with the ACT Education Directorate to apply them to better understand the factors behind school student outcomes.
Monetary Authority of Singapore
Gradient Institute is working with the central bank and financial regulatory body of Singapore, the Monetary Authority of Singapore, to develop methodology, metrics and tools that enable the country’s financial institutions to evaluate their AI and data analytics solutions to ensure they are being…
Australian Human Rights Commission
Gradient Institute worked with the Australian Human Rights Commission (AHRC), the Consumer Policy Research Centre, CHOICE and CSIRO’s Data61 to develop a report on algorithmic bias.
Upcoming Events
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