
Responsible Artificial Intelligence
We are an independent, nonprofit research institute that works to build safety, ethics, accountability and transparency into AI systems: developing new algorithms, training organisations operating AI systems and providing technical guidance for AI policy development.
Case Studies

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. This formed...

Monetary Authority of Singapore
We collaboratively developed a methodology, metrics and tools to enable financial institutions to evaluate their AI and data analytics solutions against the Fairness, Ethics, Accountability and...

ACT Education Directorate
In collaboration with the Australian Capital Territory (ACT) Education Directorate, Gradient Institute applied state-of-the-art causal machine learning techniques to education data to look deeper...

Banking
One of Australia's leading banks engaged Gradient Institute to provide subject matter expertise in the responsible use of AI to aid in the development of their AI policy, processes and practices....

Online marketplace
The client is a market leader online marketplace that spans multiple countries. The organisation uses artificial intelligence (AI) systems as core components of their marketplace business including...

Latest News

Investigating Manipulative Applications of Generative AI
8 December 2023
With support from the Minderoo Foundation, Gradient Institute is exploring how bad actors could leverage the latest pre-trained language models for personalised persuasion and manipulation.

Gradient Institute Receives Donation from Cadent for AI Safety Research
9 November 2023
Gradient Institute has received a donation from Cadent, an ethical technology studio, to develop research on technical AI Safety.

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.

Telstra Foundation supports Gradient Institute research towards safer mental health chatbots
16 August 2023
Telstra Foundation, through its Young & Connected Fund, has provided Gradient Institute with a seed grant to work towards the safe and effective use of AI and Large Language Models (LLM) in mental...

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”.

New report to help businesses implement responsible AI
22 June 2023
Gradient Institute, in collaboration with Australia's National Artificial Intelligence Centre (hosted by CSIRO), has released a report that outlines practical measures for businesses to adopt...

Gradient starts delivering Generative AI risk control training courses
6 June 2023
Many companies are starting to use applications that use generative AI technologies such as large language models (LLMs). They often know about the risks such as inaccurate results, bad behaviour...

Regulators urged to monitor the AI power struggle closely for potential risks
1 May 2023
Dr. Tiberio Caetano, co-founder and chief scientist of Gradient Institute, warns that regulators need to start paying attention to anyone using vast amounts of computer power in machine learning to...

Gradient Fellow Chris Dolman awarded Actuary of the Year
15 September 2022
Gradient Institute Fellow Chris Dolman has been awarded Actuary of the Year by the Actuaries Institute of Australia. Some excerpts from the official announcement:

Australia's original disruptive festival is back for 2022
24 August 2022
We're excited for this important event run by our long-time collaborators The Ethics Centre! Truth, trust, tech, tattoos, and taboos: Australia’s original disruptive festival, the Festival of...

Events
Who we've worked with (selection)














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