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
Explainer on Causal Inference with Bayes Rule
In this article, Finn Lattimore and David Rohde show how a Bayesian approach to inferring the impact of interventions or actions representing causality softens the boundary between tractable and impossible queries, and opens up potential new approaches to causal inference.
Practical fairness assessments for AI systems in finance
Gradient Institute’s Chief Practitioner, Lachlan McCalman, describes our collaborative work with the Monetary Authority of Singapore and industry partners to develop a practical AI Fairness assessment methodology.
Next-best-action for social good
Gradient’s Chief Scientist, Tiberio Caetano, explains how next-best-action systems are often used to optimise business metrics and individual customer outcomes, but questions whether they could also become a vehicle for promoting social good.
Tutorial: Using Harms and Benefits to Ground Practical AI Fairness Assessments in Finance
Gradient’s Lachlan McCalman and Dan Steinberg presented a tutorial, along with colleagues from Element AI, at the ACM Fairness Accountability and Transparency Conference on 4 March 2021. See the video.
Artificial intelligence can deepen social inequality. Here are 5 ways to help prevent this
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.
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.
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