The AI systems relied upon by autonomous vehicles play a critical role in decision-making, environmental perception, and predictive modeling. However, research from the University at Buffalo has unveiled the risks of these systems potentially being subjected to attacks. The study indicates that while current research is conducted in controlled environments, the discovered vulnerabilities in AI models related to radar detection could have far-reaching implications for the industry. 'Brick masks' made with 3D printing and metal foils can make vehicles 'disappear' in radar detection and potentially interfere with pedestrian detection. The motivations behind such attack methods include insurance fraud, competition, or malicious harm.

Since 2022, the frequency of mentions of generative AI in the financial reports of Fortune 500 companies in the US has increased significantly by 250%, with approximately 22% of companies referencing the topic. However, concerningly, nearly 70% of these mentions focus on risks, including competitive position, security, and misinformation dissemination, reflecting companies' concerns about the potential risks of AI. About 56% of companies view AI as a potential risk, a 474% increase compared to last year. In contrast, only 31% of companies highlight the positive impacts of generative AI.

Fortune 500 companies have significantly increased their attention to risks associated with artificial intelligence (AI). The report indicates that 281 companies have listed AI as a risk factor, accounting for 56.2%, up from 49 companies last year, representing a 473.5% increase. AI risks are permeating various industries, particularly in the media and entertainment sector, where 91.7% of companies express concern. With OpenAI's launch of ChatGPT, awareness and interest in AI have surged, with the total number of companies mentioning AI increasing by 152% year-over-year. Different industries show varying levels of concern regarding AI risks.

10% of American workers face high occupational risks from AI, with 20% of workers in jobs that are highly exposed to AI. The report highlights that artificial intelligence could significantly change the way work is done without completely eliminating jobs.

The Justice Department intensifies its regulation of artificial intelligence, warning that companies abusing it will face severe penalties. The Deputy Attorney General mentioned that evaluating compliance programs will consider technology risk management. A lawsuit has been filed against a former Google engineer, highlighting the dangers posed by the misuse of AI. Companies are urged to strengthen their management practices, with warnings that violations will result in legal consequences.

Citi's Chief Analytics Technology and Innovation Officer explores the impact of generative AI on the bank. Citi leverages generative AI to assist customer service, automate tasks, and enhance internal search processes. The bank is cautious about the risks posed by external chatbots and has not yet launched them, emphasizing a careful approach. Generative AI is driving internal transformation at Citi, ensuring responsible execution.

A Microsoft engineer has raised alarms, stating that the company's AI image generator poses risks of offensive and harmful images. The engineer wrote to U.S. regulators and the board, urging the disclosure of product safety concerns. The issues stem from the Designer tool, which may generate images containing harmful content, sparking controversy. OpenAI's DALL-E model also has risks, and the engineer calls for addressing these safety issues.

Gaoxin Development, a leading computing power company with a market value exceeding 30 billion yuan, has experienced a significant short-term price surge with a static P/E ratio of 156.31 times, clearly above the industry average. The company has disclosed plans for the acquisition of equity in Huakun Zhenyu Intelligent Technology Company. Recently, the stock price has surged, but the audit and assessment of the target assets has not been completed. Data from the dragon and tiger list reveals large capital inflows.

Senators Mark Warner and Todd Young advocate for the creation of AI regulatory policies to address potential risks. AI experts warn that regulation must balance innovation with citizen protection to avoid overly restrictive development. Lawmakers believe that AI regulation is a bipartisan issue and legislative efforts must be accelerated to tackle problems like election fraud. Experts from Johns Hopkins University emphasize the need for balanced regulation to ensure AI development while protecting citizens' rights.

Japanese Prime Minister Fumio Kishida meets with Meta CEO Mark Zuckerberg to discuss advances in artificial intelligence technology and related risks.

Large hospitals are actively experimenting with generative artificial intelligence technologies, which are viewed as capable of fundamentally transforming certain aspects of care services and saving costs. Healthcare institutions are racing to adopt generative AI, but regulatory agencies are struggling to keep pace with technological advancements, leading to challenges in risk and liability. The potential risks and unknowns posed by generative AI complicate regulatory efforts, placing regulators in a dilemma regarding the management of new technologies.

Experts warn that as the 2024 presidential election approaches, misinformation related to elections may become a more serious issue. The measures to prevent false narratives are diminishing, while the tools and networks for spreading misinformation are becoming more powerful. Prior to the 2024 presidential election, experts caution that election-related misinformation could become a larger problem. Regulation in political advertising, and the widespread use of AI technology, has increased the risks of misinformation.

Small and medium enterprises have security vulnerabilities in GenAI applications; companies lack awareness of the risks associated with GenAI applications; ChatGPT drives a surge in GenAI investments; enterprises struggle to keep up with the fast-paced development of GenAI technology; security incidents related to GenAI applications are frequent.

["📌 The article reviews six major unresolved issues that have emerged regarding the impact of generative AI since its inception:\n1) AI bias;\n2) How AI is changing the concept of copyright;\n3) How AI is affecting employment;\n4) Misinformation generated by AI;\n5) The human and environmental costs of AI development;\n6) The dominance of doomsday scenarios in AI policy-making."]

The OpenAI Board announced it has veto power, particularly focused on the safety risks of cutting-edge models such as GPT-5. The company has established a security advisory team that reports monthly to ensure management is aware of misuse cases for models like ChatGPT. Under the new safety framework, the company has set requirements for models to achieve safety scores before entering the next development phase. Three safety teams have been formed to address AI risks across different time scales, mainly covering cybersecurity and CBRN risks. The company conducts regular safety drills and invites third-party red teams for independent evaluations of the models to ensure their safety.

The research found that large language models like ChatGPT retain a considerable amount of original training data during their training process. Attackers can extract large volumes of training data from the model using specific attack methods, threatening the privacy of data owners. Researchers utilized a concept of 'extractable memory' attack techniques and discovered that existing extraction attacks can recover a significant amount of training data from memory even without using the actual training data as prompts. ⚠️ Researchers recommend that data security protective measures should be implemented while developing and using large language models.

An AI researcher from Oxford University has pointed out that large language models (LLMs) may pose a threat to scientific integrity. The research calls for a change in the use of LLMs, suggesting they be used as 'zero-shot translators' to ensure factual accuracy in outputs. Relying on LLMs as a source of information could jeopardize scientific truth, leading to calls for responsible use of LLMs. The study warns that casual use of LLMs in scientific papers could result in significant harm.

Nearly 99% of Thai employees reported a significant increase in productivity after utilizing generative AI in their work. Over 60% of employees believe that generative AI is crucial for career advancement. The survey highlights the ethical and safety risks associated with the use of generative AI.

The Japanese government is considering new measures to mitigate the risks of generative AI, possibly establishing a third-party certification system to strengthen oversight of high-risk industries and organizations, aimed at encouraging developers and service providers to comply with guidelines.

Guterres believes that current AI models lack sufficient safeguards and is concerned about the negative impacts of AI on employment and cultural diversity. He warns that AI could exacerbate global inequality and proposes the establishment of global regulations to prevent inconsistent standards, and the formation of an AI advisory body to develop preliminary recommendations.