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Douyin's Safety Center recently announced a crackdown on stock investment content on its platform, aiming to foster a healthy online environment. While encouraging financial and securities professionals to share reliable information, Douyin is targeting accounts using AI tools to spread misinformation and even engage in fraudulent activities without proper qualifications. These accounts often promote supposedly high-efficiency AI stock picking tools to attract users.

With the advancement of AI technology, more and more false information is emerging. A news story about a man discovering his online girlfriend of two months was an AI has gone viral. According to CCTV reports, Mr. Liu from Shanghai recently met a woman named "Ms. Jiao" on a short-video platform. After two months of communication, they developed a romantic relationship. However, Mr. Liu was defrauded of nearly 200,000 yuan by Ms. Jiao under various pretexts, including business needs, inventory purchases, and family medical emergencies.

Recently, a netizen from Anhui posted about winning the Double Chromosphere lottery using numbers recommended by DeepSeek, which attracted considerable attention. In response, the official WeChat account of the China Sports Lottery reminded the public that any claims about AI predicting winning numbers are not credible. The China Sports Lottery explicitly stated that each lottery draw is an independent random event, and the winning numbers are generated randomly and cannot be predicted by any technological means. Whether through AI-generated numbers or machine-generated ones, the numbers produced are random, and therefore the probability of winning is...

Alexander Beckman, co-founder and former CEO of Silicon Valley AI startup GameOn, and his lawyer wife, Valerie Lau Beckman, have recently been indicted by federal prosecutors on multiple fraud charges. They are accused of deceiving investors and the company by falsifying financial statements and other means from 2018 to 2024, involving more than $60 million.

UK mobile operator Virgin Media O2 recently launched an innovative anti-fraud technology - an AI virtual grandma named 'Daisy', specifically designed to combat the rising tide of phone scams. This virtual grandma's sole task is to answer scam calls and delay the scammers as much as possible. When scammers dial a specific number set up by the operator, this AI robot, 'indistinguishable from a real person', will answer the call. According to O2, they have utilized multiple cutting-edge AI technologies and models.

Recently, the U.S. Treasury announced that using artificial intelligence (AI) technology, they successfully recovered up to $4 billion in fraudulent and improper payments during the fiscal year 2024. This figure represents a significant increase from the previous fiscal year's $652.7 million, demonstrating the remarkable effectiveness of AI in combating financial fraud. Image source note: The image was generated by AI, with the image licensing provider being Midjourney. Treasury officials stated that they began quietly using machine learning technology to analyze vast amounts of data to identify and prevent fraud since the end of 2022.

Recently, a former CEO of an Australian startup was charged by the U.S. Department of Justice and the Securities and Exchange Commission for allegedly using false financial records to scam investors, raising up to $40 million. The 41-year-old man, Baba Nadimpalli, is the co-founder and former CEO of Skael. Founded in 2016, Skael claimed to replace human labor with 'digital workers' to streamline workflows and enhance efficiency. However, the situation is...

Reflection 70B, an open-source AI model released by HyperWrite, claims to be a variant of Meta's Llama 3.1 and has shown outstanding performance in third-party tests, drawing attention. However, widespread skepticism arose after HyperWrite founder Matt Shumer announced on social media that the model is 'the world's strongest open-source model' and shared its 'reflection tuning' technology. However, an independent analysis by the Artificial Analysis organization...

Michael Smith, an American musician, has been charged with multiple offenses for allegedly using artificial intelligence to generate music and manipulating streaming numbers on music platforms to siphon over $10 million in royalties. From 2017 to 2024, Smith created hundreds of thousands of computer-generated songs using AI technology and boosted stream counts through automated bots, illegally earning approximately $1.2 million in royalties each year. He collaborated with others to fabricate stream counts through fake accounts, stealing royalties that rightfully belong to legitimate musicians and composers. Although charged with telecommunications fraud...

Trump shared images on social media claiming that Taylor Swift and her fans support his presidential campaign, featuring shirts saying 'Swifties for Trump' and a picture of Taylor resembling Uncle Sam. However, these images have been questioned as AI-generated misinformation and faced backlash from fans. Trump stated he was unaware of the situation, while his spokesperson insisted that the expressed support was genuine. Rumors suggest that Taylor might appear as a special guest at one of Trump's campaign rallies. Frequent fraudulent incidents have arisen due to AI face-swapping technology.

The Federal Trade Commission (FTC) of the United States announces a comprehensive ban on fraudulent artificial intelligence (AI) generated reviews and recommendations to combat dishonest practices in online reviews, including the purchase of positive reviews, hiring fake followers, and fabricating character testimonials. These fake reviews mislead consumers and undermine fair market competition. The new regulations highlight the dangers of AI-generated fake reviews and their impact on consumer decision-making. FTC Chair Lina Khan stated that fake reviews pollute the market and divert attention from honest competitors. This regulation aims to protect consumers by ensuring they rely on genuine user feedback rather than falsehoods.

Microsoft Vice Chairman Brad Smith urged the U.S. Congress to implement laws targeting AI-generated deepfake technology to protect citizens from fraud and manipulation. He pointed out that while the industry and nonprofit organizations have taken measures to address this issue, laws need to be updated to combat deepfake fraud. Smith emphasized the need for a comprehensive 'Deepfake Fraud Act' to provide a legal framework for law enforcement to prosecute cybercriminals who exploit the technology for fraud. He also called for updating laws concerning child sexual abuse and non-consensual intimate images to include those generated by AI.

Mastercard has launched an innovative approach utilizing generative AI and graphical technology to significantly enhance the identification of stolen payment cards, doubling its detection rate and allowing for risk identification before cards are maliciously used. This technology has a profound impact on both online and brick-and-mortar retailers, helping to reduce fraud losses, improve transaction security, and enhance customer experience. By quickly scanning vast amounts of card data and transaction information, the system can identify new fraud patterns, predict and infer partial visible card information, reconstruct complete card details, promptly alerting banks and protecting cardholders against fraud.

Telecom network fraud methods are constantly evolving, posing a threat to public property security. Major types include 'screen sharing' fraud, which involves inducing victims to enable screen sharing to obtain personal banking information for theft; 'AI deepfake' fraud, which utilizes technology to synthesize false audio and video, gaining trust before misleading victims into transferring money or providing sensitive information; false online investment fraud that uses high returns as bait to lure individuals into investing before siphoning off funds; and fake transaction fraud in online gaming products, which deceives players into making offline transactions through fictitious trading information, resulting in financial losses. Prevention measures are necessary.