Our engagement with AI is at a crossroads: Will we treat it as an all-knowing oracle or as a tool to expand our own way of seeing the world?
Articles on Artificial intelligence (AI)
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Government and tech firms need to step up.
Biases contained within historical datasets makes addressing what underpins automated decisions difficult – defining what is ‘fair’ is key.
AI-powered cyber-security: the rise of new frontier platforms like Mythos highlights nuclear arsenals’ potential weak spots, and complicates the gambles inherent in nuclear deterrence.
Companies like Meta and IBM are exploring explore how AI can hyper-personalize ads, drawing from our chat histories, playing to our unique fears and vanities.
Today’s AI systems are powerful, and it’s natural to see them as having humanlike intelligence. Shaking that illusion is important – and difficult to do.
AI models that power self-driving cars work great in clear conditions, but turn blind in fog or at night.
The concept of a ‘discount rate’ helps to explain why humans prioritize what feels good or easy now even when it leads to worse outcomes over time.
Opponents of guaranteed-income programs often argue that recipients will simply take the money and be less motivated to do any work whatsoever.
Danger arises when law enforcement believes that AI models are retrieving certainties rather than generating likelihoods.
Hasty adoption of AI may erode the scientific culture and human relationships that sustain rigorous research.
Australians’ sense of job insecurity is now as bad as it was in COVID, when unemployment hit 6.4%. Yet there are steps that can help turn fear into action.
The public sector is being encouraged to embrace AI. But can the largely voluntary governance framework we’re building to manage the technology be trusted to work?
The era of fully automated research has arrived.
A new study shows AI beating doctors at triage. But is anyone ready to govern it safely?
There are good reasons why we see AI chatbots as more than what they truly are.
Automated speech recognition is a powerful tool – but it comes with a host of assumptions.
Over two years of interviews with a cohort of STEM college students, many described feeling something personal was lost after using AI to improve their writing.
A slew of companies have announced plans to add AI agents to their workforces. Employees can take steps to handle the changes.
Big tech is investing heavily in AI infrastructure. For countries like New Zealand, there are clear gains – but also important trade-offs.
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