AI models collapse when trained on recursively generated data - Nature
Analysis shows that indiscriminately training generative artificial intelligence on real and generated content, usually done by scraping data from the Internet, can lead to a collapse in the ability of the models to generate diverse high-quality output.
Facts not Fakes: Tackling Disinformation, Strengthening Information Integrity
Rising disinformation has far-reaching consequences in many policy areas ranging from public health to national security. It can cast doubt on factual evidence, jeopardise the implementation of public policies and undermine people's trust in the integrity of democratic institutions. This report explores how to respond to these challenges and reinforce democracy.
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