Ordinary people, not just technical experts, need to set the moral standards for regulation of AI.
Articles on Artificial intelligence (AI)
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A data center could get more solar power and be kept much colder in space, but it would be extremely difficult to repair and update.
In tests, AI robot systems easily rejected directly malicious commands. But their safety filters collapsed when creative writing was used to instruct them.
AI schools try to tailor learning to match students’ abilities. But they can’t help young people learn who they are.
An “export control directive” for Anthropic’s Fable and Mythos models highlights the chaotic, fast-changing state of AI regulation.
The normalisation of AI to mediate and shape intimacy arguably erodes self-curiosity.
In the old days, companies went public early to access cash to grow. These days, soon-to-be-public companies are already flush with cash from private finance.
A massive new data centre in Sydney is the latest push in the AI boom – but a backlash is building.
When AI hands us an answer, we risk bypassing the process through which learning happens.
Communities across the state are demanding to know how proposed data centers would affect their electric and water bills, landscapes and quality of life.
Allowing people to fly drones beyond their line of sight could greatly expand commercial applications.
Delivering on Ottawa’s AI for All strategy will require governments to build wraparound supports for workers, businesses and communities.
Instead of following European models, countries should take a more considered and contextualised approach to address AI risks.
While all eyes are on whether Elon Musk is about to become the world’s first trillionaire, there may be a hidden upside to AI giants finally facing market scrutiny.
Defunding marine monitoring networks could jeopardise efforts to avoid losing track of the world’s oceans and their precious ecosystems, which drive the blue economy.
Technology increasingly promises to make talent identification more efficient and more objective. But can talent can be reduced to numbers and can AI be bias-free?
The use of artificial intelligence tools is among the top emerging issues in biodiversity conservation.
Extreme storm surges can be predicted much faster with high accuracy thanks to a new AI model that helps researchers and practitioners improve coastal flood risk assessment and adaptation planning.
A vaccine designed entirely by AI has been tested in people for the first time.
Canada is developing sophisticated AI tools for agriculture but lacks the systems to help farmers understand, integrate and trust these technologies.
Top contributors
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Professor of AI, Research Group Leader, UNSW
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Professorial Fellow, University of Canberra
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Associate Professor of Visual Communication & Digital Media, RMIT University
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Adjunct Senior Lecturer, Applied Ethics and CyberSecurity, Griffith University
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Professor of Information Systems, Michigan State University
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Adjunct Lecturer in Public Policy, Harvard Kennedy School; University of Toronto
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Professor in Robotics, Queensland University of Technology
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Professor of Philosophy and Director of Applied Ethics Center, UMass Boston
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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Professor in Business Information Systems, University of Sydney
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Director of Sydney Executive Plus, Business School, University of Sydney
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PhD in machine ethics, University of Canterbury
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Senior Lecturer, School of Engineering, Australian National University
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Professor in Computational Intelligence, Australian Catholic University
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Professor of Information Technology and Organisation, University of Sydney