Figuring out how to regulate AI is a difficult challenge, and that’s even before tackling the problem of the small number of big companies that control the technology.
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Articles on Artificial intelligence (AI)
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ChatGPT may change the workplace but there are plenty of other disruptions coming.
Quantum machine learning models could help us create AI systems that are almost impenetrable by hackers. But in the hands of hackers, the same technology could wreak havoc.
AI is definitely going to change the workplace, but don’t get too worried about your job.
Companies that want to avoid the harms of AI, such as bias or privacy violations, lack clear-cut guidelines on how to act responsibly. That makes internal management and decision-making critical.
In this podcast, Labor MP Julian Hill joins Michelle Grattan to discuss the job market and getting people into work, artificial intelligence, Julian Assange, and TikTok.
Without more transparency about AI use, it will be difficult for people to challenge biased decisions against them.
Generative AIs may make up information they serve you, meaning they may potentially spread science misinformation. Here’s how to check the accuracy of what you read in an AI-enhanced media landscape.
Generative AI, those astonishingly powerful language- and image-generating tools taking the world by storm, come at a price: a big carbon footprint. But not all AIs are equally dirty.
Integrated computing enables teachers to incorporate basic programming skills into K-12 students’ regular math, science and language arts classes.
Twitter uses an AI-powered centrally managed algorithm to moderate what you see. On Bluesky, you have control over the algorithm that selects what you see through so-called ‘composable moderation’.
AI can help the legal system, but its use needs careful consideration.
Software you may already use every day can track your productivity for your employer.
Metaphorical black boxes shield the inner workings of AIs, which protect software developers’ intellectual property. They also make it hard to understand how the AIs work – and why things go wrong.
A new book argues our philosophical and intellectual responses to technology have not kept pace with events.
Wall Street’s history of embracing high-speed algorithmic trading suggests ChatGPT will pose similar – if bigger – risks to financial markets.
Digital poverty could put some students at a disadvantage.
Setting up AI-free ‘sanctuaries’ could allow us to reap the technology’s benefits while offering vital safeguards to our cognitive capacities and privacy.
Of the risks posed by AI, overtaking human intelligence isn’t an immediate concern.
When you stop treating AI as another human, you’ll get on with it better.
Top contributors
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Professor of AI, Research Group Leader, UNSW Sydney
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor in Robotics, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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PhD in machine ethics, University of Canterbury
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Professor, Queensland University of Technology
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Assistant Professor, Psychology, Concordia University
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Lecturer in Business Analytics, University of Sydney
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Emeritus Professor, University of Nottingham, (currently CEO and Senior Vice President of the PETRA Group), University of Nottingham
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
