专题：聚焦AI 让我们一起了解AI诈骗新套路，远离高科技外衣下的陷阱！ 来源：互联网联合辟谣平台 接到"家人出事"紧急电话？一定真实吗？ "AI荐号""稳赚不赔"？可信吗？ …… 转自：北京日报客户端 ...

Core Viewpoint - The article discusses a growing online scam involving AI-generated personas that deceive individuals into emotional relationships, ultimately leading to financial exploitation. Group 1: The Nature of the Scam - The scam involves AI-generated images and scripted interactions that create the illusion of a romantic relationship, leading victims to emotionally invest and eventually send money [1][4][11] - Victims, like the interviewee Xiao Wang, often believe they are engaging with a real person, only to discover that the persona is a product of a sophisticated system designed to extract money [9][10] Group 2: Mechanisms of Operation - The process begins with the creation of attractive AI-generated images and profiles, which are then used to engage potential victims through social media platforms [5][11] - Operators of these scams utilize a standardized script for interactions, gradually building emotional connections before making subtle requests for money or gifts, especially around significant dates like holidays [6][8][11] Group 3: Emotional Manipulation - The emotional manipulation is profound, as victims often feel genuine affection and connection, leading to feelings of betrayal when they realize the truth [9][10] - The article highlights that the scam does not just rob victims of money but also erodes their trust in real relationships and their expectations of love [10][12] Group 4: Legal and Ethical Implications - The article raises questions about the legal responsibilities of platforms hosting these scams, as current laws may not adequately address the nuances of AI-generated interactions [11][12] - There is a lack of clarity on who should be held accountable in these scenarios, whether it be the platform, the creators of the AI personas, or the operators of the scam [12][13]

Core Insights - Builder.ai, once valued at $1.5 billion, has filed for bankruptcy after being exposed as a fraudulent operation that relied on manual coding rather than AI technology [1][9][10] - The founder, Dugal, leveraged the AI hype to attract significant investments, creating a facade of an AI-driven software development platform [3][6][10] Company Overview - Builder.ai was founded by Dugal in 2016, aiming to standardize software development using AI and crowdsourced labor [3][6] - The company claimed to have developed "Natasha," the world's first AI product manager, which was later revealed to be a front for manual coding by a team of Indian programmers [4][6] Investment Journey - Builder.ai raised $29.5 million in its Series A round, marking one of the largest funding rounds in Europe at the time [4] - Subsequent funding rounds included $65 million in Series B and $100 million in Series C, with major investors like SoftBank and Microsoft participating [6][7] Financial Misrepresentation - An audit revealed that Builder.ai's reported revenue for 2024 was inflated by 300%, with actual revenue only $55 million instead of the claimed $220 million [9][10] - The company's financial troubles led to a $37 million seizure by creditors, culminating in its bankruptcy filing on May 20, 2023 [9][10] Industry Implications - The collapse of Builder.ai highlights the vulnerability of investors in the tech sector, particularly in the AI space, where technology can often be opaque and difficult to verify [10][12] - The incident reflects a broader trend of fraudulent practices in the AI industry, where companies may use low-cost labor and open-source models to create the illusion of advanced technology [12]

Core Viewpoint - The article highlights the increasing threat of AI-driven scams, particularly through deepfake technology and voice cloning, which have significantly outpaced traditional fraud prevention methods [1][2][4]. Group 1: AI Fraud Trends - The amount involved in AI fraud cases in China surged from 0.2 thousand yuan in 2020 to 16.7 million yuan in 2023, with a compound annual growth rate of 1928.8% [2]. - In the first half of 2024, the amount involved in AI fraud cases exceeded 185 million yuan, more than ten times higher than the previous year [2]. - AI-based deepfake fraud increased by 3000% in 2023, while phishing emails grew by 1000% [6]. Group 2: Public Concerns and Responses - Public anxiety regarding personal privacy and security is escalating, especially as AI technology is misused for scams [2][4]. - A significant 92% of surveyed victims expressed fear over the extent of personal information that scammers possess [7]. - The need for effective identification and prevention of AI-driven scams has become a focal point for society [2]. Group 3: Technological Countermeasures - Huawei's Pura 80 series, equipped with HarmonyOS 5.1, introduces AI privacy protection features aimed at addressing these security concerns [9][18]. - The AI anti-peeping feature alerts users when someone is looking at their screen, enhancing privacy in public spaces [10]. - The AI anti-fraud protection can identify deepfake video calls and alert users to potential scams during phone calls [12]. Group 4: Security Architecture - The security features of Huawei's Pura 80 series are supported by the HarmonyOS 5.1 Star Shield security architecture, which has received the CC EAL6+ certification [16]. - The architecture includes a "pure ecology" that creates a full lifecycle security loop, blocking unreasonable permission requests and malicious app installations [17]. - Cross-device encryption ensures data security during interactions between devices, preventing unauthorized access [17]. Group 5: Industry Implications - The advancements in AI privacy solutions signify a shift in how technology companies approach user privacy, positioning Huawei as a leader in this domain [18]. - The article emphasizes that privacy protection should be an inherent capability of smart devices rather than a burden on users [18].

Core Viewpoint - The article highlights the increasing diversity and sophistication of illegal financial activities, emphasizing the need for public awareness and preventive measures against such scams [2]. Group 1: Types of Illegal Financial Activities - Illegal financial activities encompass all unlawful financial operations, including those conducted by legitimate financial institutions and those outside the financial system [3]. - Specific forms include: 1) Illegal absorption of public deposits or disguised public deposit absorption, promising high returns and capital protection [3]. 2) Unauthorized fundraising from unspecified individuals under false pretenses, such as claiming government support or backing from well-known enterprises [3][4]. 3) Illegal loan issuance and other financial services, including unauthorized settlement, bill discounting, and trust investments [4]. 4) Fraudulent financial pyramid schemes that rely on recruiting new participants to sustain operations [4]. Group 2: Consequences of Illegal Financial Activities - Participation in these illegal activities can lead to significant economic losses for individuals, with severe cases resulting in total financial ruin, while also disrupting normal economic and financial order [5]. Group 3: Responding to Suspected Illegal Financial Activities - Upon suspecting involvement in illegal financial activities, immediate and informed action is crucial for protecting personal and others' financial safety. Recommended measures include: 1) Collecting evidence such as transaction records, contracts, promotional materials, and chat logs to substantiate claims of illegal activities [6]. 2) Reporting through designated channels, including national hotlines for illegal fundraising and financial supervision [7][8]. 3) On-site reporting to local law enforcement or financial regulatory bodies [9].

Core Insights - The report highlights a significant increase in global cryptocurrency fraud losses, reaching $4.6 billion in 2024, with deepfake technology and social engineering being the primary methods behind these high-value thefts [2][3] - Bitget has launched a month-long initiative called "Anti-Fraud Month" aimed at enhancing security education and fraud awareness across the ecosystem [2][3] Fraud Trends - AI-driven scams have evolved from phishing emails to more sophisticated forms such as fake Zoom calls, synthetic videos of public figures, and job scams that carry malware [2][3] - The report identifies three main types of scams that are critical contributors to user losses: deepfake impersonation, social engineering scams, and Ponzi schemes disguised as DeFi or NFT projects [2][3] Money Laundering Tactics - Stolen funds are often transferred through cross-chain bridges and obfuscation tools before entering mixers or exchanges, complicating law enforcement and recovery efforts [2][3] Case Studies and Observations - The report includes analysis of significant fraud cases in Hong Kong and notes that platforms like Telegram and X (formerly Twitter) are increasingly becoming entry points for phishing attacks [2][3] - It also discusses the ongoing expansion of cross-border professional fraud syndicates [2][3] Company Initiatives - Bitget is actively utilizing its Anti-Fraud Center, innovative detection systems, and a protection fund exceeding $500 million to mitigate user risks [3][4] - The collaboration with SlowMist and Elliptic aims to enhance the understanding of evolving threats and provide users with self-protection tools [4] Recommendations - The report concludes with practical advice for users and institutions, covering warning signs of scams and best practices to avoid common pitfalls in DeFi, NFT, and Web3 environments [4]

Group 1 - The peak season for exam-related fraud coincides with the annual college entrance examination period, necessitating heightened vigilance from students and parents against evolving scams [1] - Fraudsters are leveraging new technologies, such as AI-generated documents and social media, to create realistic scams and spread misinformation about exam reforms [1] - Various deceptive tactics include promises of access to real exam questions and answers through hidden channels, often requiring upfront payments with false guarantees of refunds [3][7] Group 2 - Advertisements for cheating devices, such as "invisible earphones" and "watch-like receivers," are prevalent on social media, often accompanied by fabricated success stories [5] - Fraudsters may offer full exam guidance for a fee, but the actual products received are often worthless, such as ordinary earplugs, leading to severe consequences for students caught cheating [7] - The rise of new technologies in exam management aims to prevent cheating, including strict security measures that can detect suspicious signals during exams [9]

Core Viewpoint - The article emphasizes the collaborative efforts of the Ministry of Education, the Central Cyberspace Administration, and the Ministry of Public Security to combat illegal and harmful information related to the national college entrance examination (Gaokao) in China, aiming to create a safe and fair examination environment [2][3]. Group 1: Government Actions - The three departments will focus on clearing rumors about leaked exam questions, selling supposed "answers," organizing cheating, and conducting enrollment fraud [2]. - There is a strong emphasis on monitoring and regulating the dissemination of false information, particularly those generated by AI technologies [3]. - The initiative aims to establish a robust legal deterrent against the fabrication and spread of false information related to the examination [3]. Group 2: Nature of Scams - Scams during the exam season exploit the anxiety of parents and students, often involving the sale of fake exam materials and promises of insider information [2]. - New scams are increasingly sophisticated, utilizing AI to create convincing fake documents and leveraging social media for rapid dissemination [3]. - The article highlights the need for vigilance and rationality among parents and students to avoid falling victim to these scams [4]. Group 3: Community Involvement - The article calls for a collective effort from schools, internet authorities, and the public to combat exam-related fraud [4]. - It stresses the importance of verifying information through official channels and discouraging reliance on exaggerated claims from social media [4]. - The establishment of a governance framework involving government oversight, platform responsibility, and public participation is deemed essential for effectively addressing exam fraud [4].

Group 1 - The core event is the "Investment Education Protection: Guangdong Investment Strategy" micro-video competition, which was organized by the Guangdong Securities and Futures Industry Association, Southern Metropolis Daily, and Bay Finance Society, culminating in the announcement of winners just before the "5.15 National Investor Protection Publicity Day" [2][3] - The competition attracted 75 submissions from financial institutions in Guangdong (excluding Shenzhen), focusing on themes such as serving the real economy, investor protection, and social responsibility [2] - The awarded works addressed current financial market pain points, including AI scams, elderly investment traps, and the popularization of new financial products, utilizing innovative formats like short dramas and animations to make professional knowledge accessible to the public [2][3] Group 2 - A total of 19 works were awarded from the 75 entries, showcasing diverse themes, vibrant presentation styles, and profound educational content, effectively responding to the new "National Nine Articles" requirements for enhancing investor education [3] - The winning entries demonstrated a keen awareness of market pain points such as AI scams and the emotional needs of different age groups, employing innovative formats to engage audiences [3][4] Group 3 - The first prize-winning work, "Old Wu's Investment Journey: Companionship is the Best Prevention," highlights the emotional scams targeting elderly investors, emphasizing the importance of family companionship in fraud prevention [4] - The second prize-winning work, "AI Algorithm? Human Algorithm!" reveals the underlying logic of scams exploiting human greed through a hacker's perspective, combining technological insight with cautionary messages [5][6] - The third prize-winning works include "The Self-Narration of ST Stocks," which uses a personified approach to explain delisting rules and investment risks, and "315 Financial Anti-Fraud: Unveiling 'Fake' Securities Apps," which educates viewers on identifying fraudulent applications [8][9]

Core Viewpoint - The article discusses the unprecedented trust crisis faced by humanity due to AI technology's infiltration into various aspects of life, particularly in education and fraud, highlighting the challenges of distinguishing between real and AI-generated identities [6]. Group 1: AI in Education - AI tools are being exploited by fraudsters to create fake student identities, leading to significant financial losses from federal and state educational aid [4]. - In California, investigations revealed that a fraud group used at least 57 identities to steal over $1.1 million in federal aid over four years [4]. - Approximately 25% of community college applicants in California are suspected to be AI-generated identities, resulting in over $250,000 spent on fraud detection [4][11]. Group 2: Broader Implications of AI Fraud - AI fraud has expanded beyond educational institutions, affecting social media, consumer markets, and financial sectors, with numerous high-profile scams reported [5][20]. - The use of AI-generated content has led to emotional and financial exploitation of individuals, including elderly victims who have lost significant amounts of money to impersonated celebrities [16][19]. - The article highlights a case where a mother lost approximately 2 million yuan due to a fraudulent relationship facilitated by AI technology [19]. Group 3: The AI Black Market - A complex AI black market has emerged, where technology is used to facilitate scams, significantly lowering the barrier for entry into fraudulent activities [22][29]. - The article describes a complete industry chain for AI fraud, including technology providers, promoters, and money laundering operations [31]. - Recent cases illustrate the effectiveness of AI in creating convincing impersonations, leading to substantial financial losses for victims [32][33].