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Resources and reports to enable responsible AI practice.
The Australian AI Safety Institute has released its first publication: a report on the risks of AI agents interacting across organisational boundaries, commissioned from Gradient Institute.
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AI is showing up everywhere, often without us noticing. We've developed a free, plain-English guide to help people use it well, covering everything from spotting AI scams to protecting your privacy, whatever your experience level.Read more ->
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A couple of years ago, "AI in coding" mostly meant autocomplete: a tool that finished your sentence as you typed, like predictive text for programmers. It was useful, but modest. The human did the engineering while the machine saved keystrokes, as AI researcher Andrej Karpathy described in a famous X post, coding became "tab tab tab" (the keyboard shortcut to accept autocomplete suggestions).
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In 2025, Gradient Institute shaped Australiaʼs national AI guidance, contributed to global AI safety science, and helped hundreds of organisations build the capabilities to develop, deploy and use trustworthy AI systems.
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The Department of Industry, Science and Resources (DISR) has released Guidance for AI Adoption to enable safe and responsible AI across Australian industry. The Guidance for AI Adoption: Foundations and supporting templates were developed by Gradient Institute with the National AI Centre.
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Gradient Institute has responded to the Productivity Commission's interim report on 'Harnessing data and digital technology', arguing that its proposed regulatory approach to AI applies conventional governance principles to a fundamentally unconventional technology that may lead to a paradigm shift in how society operates.
Read moreGradient Institute is an independent nonprofit research organisation helping society understand, steer and respond to AI as it transforms our world. We conduct, distil, and interpret scientific research to bring clarity where decisions are complex, stakes are high, and uncertainty is the norm. Our approach is built on:
Rigorous research into AI systems, capabilities and risks, grounded in how they affect people, institutions, and society in practice.
Research designed to support policy, governance, and responsible use - with public benefit as the guiding principle.
Clear, science-based explanations that help decision-makers and the public understand trade-offs, limits, and consequences, so decisions become responsive rather than reactive.
We help people build calibrated trust in AI: trust that is proportionate to the evidence. More trust than the evidence warrants creates risk. Less holds back AI’s potential. We provide the research, methods, and frameworks that ground trust in evidence and rigorous analysis, so that AI can be used responsibly, governed effectively, and questioned rigorously.
We conduct, distil, and interpret research, including through sponsored research and strategic partnerships, on AI capability, safety, and societal impact. Our work generates new knowledge and insight that helps tackle high-stakes challenges where technical and scientific AI research is essential.
Explore researchWe partner with governments, organisations, civil society, and communities to bring scientific understanding into important decisions about AI and its applications. We help people understand the terrain, provide assurance, and support thoughtful implementation to achieve intended impacts.
Explore AdvisoryWe help people across government, industry, civil society, and the public build genuine understanding of AI: what it is, what it can and cannot do at any point in time, where it can go wrong, and how to engage with it responsibly. Our programs build skills, discernment, and calibrated trust, so supporting clear-eyed decision-making rather than blind or reluctant adoption.
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We collaborate with governments, research institutions, universities, industry, and civil society on work aligned with our public-interest mission. Our partnerships focus on bringing rigorous research and clear judgment into decisions where AI carries real societal consequences.
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