Higher education’s embrace of AI reveals deeper trends in institutional priorities − and what’s at risk.
Articles on Artificial Intelligence ethics
Displaying 21 - 40 of 126 articles
It can take years to collect evidence that shows effective uses of new technologies in schools. Unfortunately, early guesses sometimes go seriously wrong.
Different licensing models could help ensure the rights of creators are reconciled with AI companies’ hunger for data.
Banning ‘nudify’ apps is an important step, but alone it won’t stop the harm they cause.
YouTube was found to have used AI to edit videos without creators’ consent. And it’s not the first time a media company has done this.
AI systems’ water usage can vary widely, depending on where and when the computer answering the query is running.
As AI becomes part of everyday life, students showed how we can partner with the technology, rather than worry about it taking over jobs.
Fraudulent science is becoming an industry.
Generative AI is in the workplace already, so students should learn how to use it. But an early experiment shows generative AI is different than learning previous business apps.
Mental health chatbots promise therapy at your fingertips, but can AI ease anxiety and depression, or are we confusing conversation with care?
Whether you think AI is a good or bad thing, the fact is it’s here. AI literacy enables students to make safe and informed decisions when using AI, preventing habits that compromise academic integrity.
When is it acceptable to use AI in academic publishing?
Federated learning offers a new foundation for AI — one where privacy, transparency and innovation can move together.
Pioneering computer scientist Yoshua Bengio says his new AI model will make the world safer. But will it work?
The solution demands two simple and clear actions: declare that photo manipulation has taken place and disclose what manipulation was carried out.
As AI algorithms quietly take over life’s most important decisions, the right to opt out is fading – and with it, our autonomy.
Surveillance of speech by algorithm raises urgent questions about data privacy and the future of a neutral, expert public service.
When artificial intelligence knows consumers can’t afford to walk away, price increases and quality decreases.
In one example, an AI image generator produced an image of what was meant to be an elderly First Nations man – in a traditional Papuan headdress.
Google recently ended its longstanding ban on developing AI weapons.
Top contributors
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Associate Professor of Visual Communication & Digital Media, RMIT University
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Adjunct professor, Carleton University
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Associate Professor, School of Media and Communication, RMIT University
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Lecturer in Philosophy, University of East Anglia
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Senior Lecturer, School of Engineering, Australian National University
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Senior Lecturer in Philosophy, University of the Witwatersrand
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Lecturer, Business School & Centre for Policy Futures, The University of Queensland
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Postdoctoral Research Fellow, Melbourne Business School
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Chair in Trust, Professor of Management, The University of Melbourne; Melbourne Business School
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Professor of English Language and Literature; University Research Chair & Founding Director, Critical Media Lab, University of Waterloo
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Professor in Information and Communication Technology Policy, Concordia University
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Industry Professor of Emerging Technology and Co-Director, Human Technology Institute, University of Technology Sydney
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Co-Founder of The Data Tank and Co-Founder and Chief Research and Development Officer of the Governance Laboratory (GovLab), New York University
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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Senior Lecturer in Psychology and Sex and Relationship Therapist, University of Westminster