Apologies for the multiple postings.

-------------------------------------

*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.


https://defactify.com/


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
<https://huggingface.co/datasets/gsingh1-py/train>.


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
<https://huggingface.co/datasets/NasrinImp/Defactify4_Train>


Please take part in the shared tasks if you are interested in AI-generated
content detection.


Thanks,
A

*Prof. (Dr.) Amitava Das*

Research Associate Professor

Artificial Intelligence Institute of the University of South Carolina
<http://aiisc.ai>

Web <http://www.amitavadas.com/> | LinkedIn
<http://:%20https:/www.linkedin.com/in/prof-dr-amitava-das-78348022/> | Google
Scholar <https://scholar.google.com/citations?hl=en&user=HYpfhaEAAAAJ>



Advisory Scientist

Wipro AI Lab <https://wiprodigital.com/>

Bangalore, India

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20/11/24, 12:42:56 pm
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