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The issue of deepfake crimes in South Korea has drawn widespread attention from society, particularly concerning the increasing number of cases involving minors, with an estimated 220,000 individuals affected. The victim demographics are broad, including students, teachers, military personnel, and a significant proportion of minors. These crimes are rapidly disseminated through social media, with some victims' information being used for validation in illicit groups. Cases of deepfake targeting women have garnered particular attention, with known affected schools exceeding 100, including both domestic and overseas Korean international schools. In response, the South Korean president has called for strengthened investigations and the eradication of crimes utilizing digital technology.

Meta's security report reveals Russia's use of generative artificial intelligence (AI) to enhance online deception activities. While Russia has attempted to leverage AI to improve the effectiveness of its cyber interventions, the results have been minimal, mostly boosting the productivity and content generation capabilities of malicious actors. The report indicates that since Russia's invasion of Ukraine in 2022, these activities have primarily focused on undermining the credibility of Ukraine and its supporter countries. Meta predicts that as the US elections approach, Russia may target candidates supporting Ukraine.

The potential breakthrough of OpenAI's Q*, referred to as capable of 'surpassing anyone' in certain activities, has been highlighted. Tirath Virdee, founder and chief scientist of Xenesis, stated that the development of Q* is expected to endow AI systems with 'semantic coherence' in language construction, enabling more meaningful interactions with human users. Although OpenAI's Q* breakthrough is anticipated to exceed human capabilities in specific activities, this achievement does not imply the realization of artificial general intelligence. OpenAI's Q* project has garnered significant attention.

The Australian Federal Police (AFP) announced the use of artificial intelligence (AI) technology to analyze surveillance licensing data, aiming to identify money laundering and fraud activities. The AFP stated that they expect AI technology to enhance the efficiency of policing, although its current usage is limited. AI tools, including large language models, are expected to help discover useful information within large-scale data, thus accelerating decision-making and actions. This initiative is particularly important in combating economic crimes, as these crimes involve complex data and patterns. The AFP emphasized transparency, ethics, and legality, ensuring data protection and privacy.

{Point 1: The Ministry of Public Security has solved 79 criminal cases involving the use of 'AI Face Swap' technology and arrested 515 criminal suspects. Point 2: Law enforcement agencies have collaborated with national key laboratories and other organizations to conduct security assessments on facial recognition and live detection technologies to effectively protect citizens' personal information. Point 3: In response to the fraud issues caused by 'AI Face Swap', law enforcement agencies rely on the 'Clean Net' special operation to crack down on the sources of crime that leak ID photos and other image information.}