Canada’s current framework treats deepfake-based sexual abuse as isolated criminal behaviour, when it is systematic gender-based violence.
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Government and tech firms need to step up.
The Enclosure Acts allowed fencing of common lands that villagers had used for generations. Something similar has happened in the digital space.
Ofcom and the EU have launched investigations into the chatbot.
Policymakers have generally been extremely slow to do anything about the problem.
While the UK reins in deepfakes on Elon Musk’s X, NZ’s outdated laws leave women exposed and platforms unaccountable.
Publicly bombarding women with these images exerts control over how they present themselves online.
The growing ease of perpetrating sexual violence with novel technologies reflect the urgent need to prioritise AI safety and regulation.
Governments around the world are clamping down on Grok’s production of nonconsensual sexual images. Why does Canada seem to be missing in action?
If companies can build systems capable of generating such imagery, they can also stop it being generated – in theory, at least.
When we ask for news, we should expect generative AI tools to stick to the facts. But new research shows they don’t.
Child sexual abuse material on X is clearly illegal. What’s less clear is how to force X to prevent its AI chatbot from making the material.
These images are being shared in an attempt to harass, demean or silence individuals.
Musk’s new WIkipedia rival aims to offer the same service but without the political bias.
It’s no surprise these lifelike AI companions are attractive to lonely people. But for some, these relationships are harmful and even dangerous.
Attributing human characteristics to artificial intelligence is more harmful than beneficial.
AI models are not politically neutral nor free from bias. In fact, it may not even be possible for them to be unbiased.
Grok 4’s new AI companions raise concerns about virtual friends disrupting real social relationships, anti-feminist rhetoric and the exploitation of personal data.
AI developers have many levers they can use to steer chatbots into certain behaviours.
The tools that are meant to help make AI safer could actually make it much more dangerous.
Top contributors
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Professor of Global & Language Studies, RMIT University
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Associate Professor of Law, Quinnipiac University
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Professeur, École des médias, Université du Québec à Montréal (UQAM)
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Lecturer, Deakin University
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Senior Lecturer in Computing and Information Systems, Cardiff Metropolitan University
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Instructor in Political Science, Carleton University
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PhD Candidate, Public Health, University of Toronto
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Society for Applied Philosophy Postdoctoral Fellow, University of Leeds
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Senior Lecturer in Artificial Intelligence, Te Herenga Waka — Victoria University of Wellington
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Senior Lecturer in Law, University of Canterbury
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Senior Managing Editor, LSE Blogs
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Professor of Society and the Internet, Oxford Internet Institute, University of Oxford, University of Oxford
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Professor in Practice, London School of Economics and Political Science
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Research Leader, Defence, Security and Justice team, RAND Europe
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Sexologist & Lecturer and Research Fellow in Communications & Culture, Edith Cowan University