A new machine learning model can pinpoint anomalies in sports results – whether from match fixing, strategic losses or poor player performance. It could be a useful tool in the fight against cheating.
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Articles on Artificial intelligence (AI)
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What AI-narrated audiobooks tell us about reading and big tech.
As artificial intelligence becomes mainstream, its infiltration into children’s lives is causing tremendous anxiety.
Industry leaders, scientists and policymakers may see AI’s technical potential, but societies have trouble adapting to revolutionary advances without broad public participation.
Scholars differ over whether having students use AI in their assignments will help or hurt their careers after graduation.
AI systems with deceptive capabilities could be misused in numerous ways by bad actors. Or, they may become prone to behaving in ways their creators never intended.
It’s hard to remember life before Google, when the closest thing to it was your local librarian. Soon the search engine will be offering AI-based summaries in its search results.
The age of autonomous weapons is upon us
The rapid rate of AI adoption is putting workplaces at risk of overlooking its potentially adverse impacts, particularly those that could impact the health and well-being of workers.
Media articles and influencers have helped give the impression that prompt engineering could be a ticket to a six-figure salary. The reality, as always, is a different story.
Researchers had college students and AI take a standardized test in creative thinking, and all of them were scored by trained evaluators who didn’t know in advance that some had been completed by AI.
Data used to train AI systems often reflects the racism inherent in society.
The merging of technology and faith is sparking a transformative shift in redefining spirituality and religious practices.
The seeds of the current commotion over AI were laid years ago.
Doctors weren’t happy when celebrity Kim Kardashian promoted whole-body MRI scans recently. But that doesn’t mean they don’t hold promise for understanding ageing on a grander scale.
Language model AIs seem smart because of how they string words together, but in reality they can’t do anything without many people guiding them every step of the way.
Snapchat’s AI-powered chatbot malfunctioned this week, raising questions of “sentience” among users. As AI becomes increasingly human-like, society must become AI-literate.
Models are powerful, but they have their risks, and AI is just the latest example. The best way to address this is by ensuring that AI can be developed in a globally decentralized way.
The Canadian government’s attempts at public consultations have fallen short when developing regulatory frameworks for AI. More needs to be done to ensure that policies serve the public.
Interactive artworks are frequently seen in Montréal’s public spaces, providing sensory interactions. While these installations are entertaining in some way, there is a certain monotony in them.
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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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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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Professor, Queensland University of Technology
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Lecturer in Business Analytics, University of Sydney
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
