November 27th, 2024 
Daniela Lopez de Luise Motivation: A report by the European Union Law Enforcement Agency predicts that by 2026, up to 90% of online content could be synthetically generated, raising concerns among policymakers, who cautioned that ”Generative AI could act as a force multiplier for political disinformation. The combined effect of the generative text, images, videos, and audio may surpass the influence of any single modality”. In response, California’s Bill AB 3211 mandates the watermarking of AI-generated images, videos, and audio. However, concerns remain regarding the vulnerability of invisible watermarking techniques to tampering and the potential for malicious actors to bypass them entirely. Therefore, AI-generated content detection has become an essential research problem.
Shared Task 1: CT2: AI-Generated Text Detection
Colab: https://codalab.lisn.upsaclay.fr/competitions/20330
A snapshot of the data can be viewed here.
Shared Task 2: CT2: AI-Generated Image Detection
Colab: https://codalab.lisn.upsaclay.fr/competitions/20331
A snapshot of the data can be viewed here
Please take part in the shared tasks if you are interested in AI-generated content detection.
Thanks,
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Prof. (Dr.) Amitava Das
Research Associate Professor
Artificial Intelligence Institute of the University of South Carolina
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Advisory Scientist
Bangalore, India
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