The researchers began combing through the LAION dataset in September 2023 to investigate how much, if any, child sexual abuse material (CSAM) was present.
These were sent to CSAM detection platforms like PhotoDNA and verified by the Canadian Centre for Child Protection.
Stanford’s researchers said the presence of CSAM does not necessarily influence the output of models trained on the dataset.
“The presence of repeated identical instances of CSAM is also problematic, particularly due to its reinforcement of images of specific victims,” the report said.
The researchers acknowledged it would be difficult to fully remove the problematic content, especially from the AI models trained on it.
US attorneys general have called on Congress to set up a committee to investigate the impact of AI on child exploitation and prohibit the creation of AI-generated CSAM.
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The researchers began combing through the LAION dataset in September 2023 to investigate how much, if any, child sexual abuse material (CSAM) was present.
These were sent to CSAM detection platforms like PhotoDNA and verified by the Canadian Centre for Child Protection.
Stanford’s researchers said the presence of CSAM does not necessarily influence the output of models trained on the dataset.
“The presence of repeated identical instances of CSAM is also problematic, particularly due to its reinforcement of images of specific victims,” the report said.
The researchers acknowledged it would be difficult to fully remove the problematic content, especially from the AI models trained on it.
US attorneys general have called on Congress to set up a committee to investigate the impact of AI on child exploitation and prohibit the creation of AI-generated CSAM.
The original article contains 339 words, the summary contains 134 words. Saved 60%. I’m a bot and I’m open source!