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
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