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.
Academic rigor, journalistic flair
Articles on Deepfakes
Displaying 41 - 60 of 75 articles
The use of deepfakes and AI by groups with various interests, including governments and media, is the latest and most sophisticated tool in information and disinformation campaigns.
One of the biggest headlines in the gaming community last week involved a deepfake porn scandal. Such material is one example of how generative AI can cause immense harm.
Deepfakes have found their perfect vehicle in comedy – which allows them to be enjoyed without fear of deception.
Text-to-image generators like DALL-E and Stable Diffusion portend a future where anyone with a computer can fake a photograph of just about anything.
Despite their dangers, highly realistic deepfake images and videos are finding positive uses in the creative arts.
AI-generated voice-alikes can be indistinguishable from the real person’s speech to the human ear. A computer model that gives voice to the dinosaurs turns out to be a good way to tell the difference.
Earlier this year, a deepfake impersonating Ukrainian President Volodymyr Zelenskyy spread on social media – with Zelenskyy supposedly asking Ukrainians to surrender to Russia.
To combat the rise in deepfakes used in fraud, employees and investigators need to be aware of the threats involved.
Deepfakes — manipulated images of people — can be difficult to distinguish from the real thing, and this has terrifying consequences for democracy.
The system behind apps like Facebook, Twitter, YouTube and WhatsApp isn’t neutral. It encodes political communication, influencing what users see.
Deepfakes could strengthen our engagement with history. But there are dangers to the practice, some obvious, others more subtle.
Fake videos generated with sophisticated AI tools are a looming threat. Researchers are racing to build tools that can detect them, tools that are crucial for journalists to counter disinformation.
A scholar who has reviewed the efforts of nations around the world to protect their citizens from foreign interference says there is no magic solution, but there’s plenty to learn and do.
Images without context or presented with text that misrepresents what they show can be a powerful tool of misinformation, especially since photos make statements seem more believable.
They’re associated with fake news and celebrity porn videos but there are some unexpected upsides to these slippery clips.
The abilities to detect and analyze deepfake videos is of the utmost urgency. Deepfakes are a serious threat to people’s security and our democratic institutions.
Even established political parties are using a host of tricks to manipulate the news.
It’s a slippery slope from satire to dangerous deepfakes.
Fake videos pose a risk to democratic representation, participation, and discussion. Canadians need to be mindful of their existence as we head towards the federal election.
Top contributors
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Professor & Australian Research Council Future Fellow, Social and Global Studies Centre, RMIT University
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Professor of Computer Science and Engineering; Director, UB Media Forensic Lab, University at Buffalo
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Professor, Family and Sexual Violence, RMIT University
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Assistant Professor of Journalism and Emerging Media Studies, Boston University
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Professor of Computer Science, University of California, Berkeley
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Professor of Law, Durham University
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Associate Professor in Filmmaking, University of Reading
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Assistant Professor, Educational Technology, Chair in Educational Leadership in the Innovative Pedagogical Practices in Digital Contexts - National Bank, Université Laval
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Associate Professor of Criminology, Monash University
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Professor of Community Information, University of Michigan
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Research scientist, Rochester Institute of Technology
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Professor of Computing Security, Rochester Institute of Technology
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Assistant researcher, Université du Québec à Montréal (UQAM)
