Hundreds of child sexual abuse pictures were found in an image dataset used to train AI models, an analysis by a Canadian children’s organization has found.
The centre’s analysis found nearly 680 images that the centre either recognized or suspected to be related to child sexual abuse and exploitation material. Those materials included images of more than 120 underage victims from both Canada and the United States.
Nearly 70 of the images found in the dataset were thought to depict pre-pubescent children. Another 130 similar images were of those who were post-pubescent. The analysis also found images depicting sexual acts involving children and teenagers.
The findings shine a light on serious ethical issues concerning the evolution of AI technologies, the centre said.
“As countries continue to invest in the development of AI technology, it’s crucial that researchers and industry consider the ethics of their work every step of the way,” C3P director of technology Lloyd Richardson said in the press release.
“Many of the AI models used to support features in applications and research initiatives have been trained on data that has been collected indiscriminately or in ethically questionable ways. This lack of due diligence has led to the appearance of known child sexual abuse and exploitation material in these types of datasets, something that is largely preventable.”
The centre said it has since issued a removal notification to Academic Torrents, which had been providing the user-generated dataset for download for more than six years. The Academic Torrents platform is often used by researchers and universities for downloading datasets. The centre noted that the images it flagged in its analysis are no longer accessible in the dataset.
The centre’s findings are consistent with a 2023 inquiry by Stanford University’s Cyber Policy Centre, which detected child sex abuse images in a dataset that was used in the creation of text-to-image AI models.
AI Use and Regulation
AI is a key part of Prime Minister Mark Carney’s approach to digital policy and he has made the development of Canada’s AI capacity a priority since winning this spring’s federal election.Carney has tasked Evan Solomon, the first cabinet member to hold the position of Artificial Intelligence Minister, to shape Canadian AI policy.
Regulation isn’t about finding “a saddle to throw on the bucking bronco called AI innovation,” Solomon said at the Canada 2020 summit in Ottawa in June. “But it is to make sure that the horse doesn’t kick people in the face. And we need to protect people’s data and their privacy.”







