AI is going to fundamentally transform how nations wage far. By failing to address it, the defence review leaves Australia unprepared for the future of war.
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AI is poised to reshape parts of US culture and society. Have tech developments raced ahead of our ability to understand the consequences?
Transparency and accountability must be a priority to prevent discrimination.
Federal Education Minister Jason Clare says he wants a national approach to mobile phone bans in Australian schools.
We can now store information outside of our brains, and use computers to retrieve it. That ought to make learning and remembering easy, right?
There’s a lot of overlap in AI-related concepts. Understanding how they are different from each other, and how they relate, is important.
Losses have surged, and change is needed to better protect Australians into the future.
Emergency alerts system: a lifesaving service or a threat to privacy?
Generative AI can seem like magic, which makes it both enticing and frightening. Scholars are helping society come to grips with the potential benefits and harms.
Some some said AI would not just reach human-level intelligence, but would probably surpass it.
Generative AI is designed to produce the unforeseen, but that doesn’t mean developers can’t predict the types of social consequences it may cause.
Astronomers are hot on the search for new exoplanets – planets that lie beyond our Solar System – which might show potential for sustaining life.
Passwords are both annoying to use and vulnerable to hackers. Google is moving to support stronger, easier-to-use passkeys (and other tech companies are close behind).
Legislation meant to improve cybersecurity could be difficult to implement and might create incentives for riskier digital behavior.
We all have a stake in life extension research, since we all age and are all slated to die. But one of the greatest risks it brings is the potential for social stagnation.
Language model AIs are smooth talkers, but you shouldn’t rely on them to make important decisions. That’s because they have trouble telling the difference between a gain and a loss.
Large language models can’t understand language the way humans do because they can’t perceive and make sense of the world.
Governments around the world have so far taken a light-touch approach. It’s not enough if we want to address the various potential harms of AI.
The platform has already faced bans in a number of other countries – most of them citing privacy and surveillance concerns.
Powerful new AI systems could amplify fraud and misinformation, leading to widespread calls for government regulation. But doing so is easier said than done and could have unintended consequences.
Top contributors
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Professor of Information Systems, Michigan State University
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Researcher: Digital Literacy and Digital Wellbeing, Western Sydney University
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Professor of Advanced Technology Transitions, Arizona State University
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Professor of AI, Research Group Leader, UNSW Sydney
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Senior Lecturer in Economics, Lancaster University Management School, Lancaster University
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Director, Center for National Security Initiatives, and Professor of Aerospace Engineering Sciences, University of Colorado Boulder
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Principal Lecturer in Computer Science and Electrical Engineering, University of Maryland, Baltimore County
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Visiting Professor of Law, University of Richmond
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Associate Professor of Information Science, University of Colorado Boulder
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Assistant Professor of Journalism and Emerging Media Studies, Boston University
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Associate Professor, Informatics and Operations, Kingston University
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Professor of Cyber Security Practice, Edith Cowan University
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Associate Professor of Markets, Public Policy and Law, Boston University
