If an engineer makes an improper assumption while designing something, sometimes the consequences are fatal. An engineering professor explains how to reduce risk.
Articles on Artificial intelligence (AI)
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Large language model AIs can ingest long documents and answer questions about them, but a key question is how well they ‘understand’ individual sentences in the documents.
Aligning AIs with people’s goals and values is tricky. A new technique quantifies how far off human and machine are from each other.
Cute characters are often vulnerable, innocent and lovable – and therein lies their power.
During scrolling, the brain processes visuals quickly not critically, making it easy to miss details that reveal a fake. As technology advances, slow down, look closer and think critically.
AI can process data from wearable devices to better monitor your health and detect problems sooner. The trick is teaching AI algorithms how to cut through the noise.
This hospitality course bridges the gap between theoretical knowledge and real-world skills.
Lesson plans incorporating shark fossil teeth help prepare kids to live and work in an AI world.
Computing pioneer Alan Turing suggested training machines with rewards and punishments. Two computer scientists put the idea into practice in the 1980s and set the stage for the likes of ChatGPT.
The dread that AI evokes seems a distraction from the more disquieting scrutiny of humanity’s own dark nature.
When AI systems try to bridge gaps in their training data, the results can be wildly off the mark: fabrications and non sequiturs researchers call hallucinations.
Participants in a study were willing to spend just as much time and money on an AI-generated story as one they were told was written by a human.
Every field has its own standard for what data gets recorded for specimens archived in a museum collection, which can make research difficult.
US patent law says inventors must be human, but they can use AI. This changes the nature of invention and raises the question: Is this what the founders had in mind when they set up the patent system?
AI innovation and governance can coexist. The key is combining public-private partnerships, market audits and accountability.
As DOGE taps into sensitive federal agency data repositories, many people fear what could happen to the data. One little-discussed but hugely consequential possibility: fueling Elon Musk’s xAI company.
Humans understand that ‘red ball’ makes sense but ‘ball red’ does not. Large language models? Not so much.
The technology is always on call and is quite competent. But it lacks the contemplation and attention to detail that yield great works of art.
Most screenwriters need to be able to craft characters outside their own backgrounds and experiences. But it isn’t easy and often requires collaboration – with AI able to offer a helping hand.
Enzymes significantly speed up the chemical reactions that keep you alive. Researchers are using AI to create new ones to tackle modern challenges.
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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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Professor of Philosophy and Director of Applied Ethics Center, UMass Boston
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Director of Sydney Executive Plus, Business School, University of Sydney
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Professor in Business Information Systems, University of Sydney
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PhD in machine ethics, University of Canterbury
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Professor in Computational Intelligence, Australian Catholic University
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Professor of Information Technology and Organisation, University of Sydney
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Senior Lecturer, School of Engineering, Australian National University