Generative AI needs tons of data to learn. It also generates new data. So, what happens when AI starts training on AI-made content?
Academic rigor, journalistic flair
Articles on data sets
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Generative AI advances bring risks of model collapse. Here’s how synthetic data can address these risks.
Human Rights Watch has sounded the alarm over Australian children’s images found in a huge data set used to train AI models. It could be a breach of our privacy law.
With any AI system, we should match our expectations to its abilities – which have many potential limits.
In-person collaboration between Indigenous communities has been aided by information technologies like Zoom. However, recent attempts to mine personal data raise concerns about data ownership.
Top contributors
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PhD Student, Information, University of Toronto
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Associate Professor, Faculty of Law & Justice; Lead, UNSW Public Interest Law & Tech Initiative, UNSW Sydney
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Associate Professor in Computational Intelligence, Australian Catholic University
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Lecturer, Liberal Arts and Sciences, OCAD University
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Research Fellow in AI Accountability, Queensland University of Technology
