OpenAI recently launched its video generation model Sora, but the training data for the model may contain a lot of copyrighted game content, raising concerns about legal issues. Sora can generate videos of up to 20 seconds based on user text prompts or images, supporting various aspect ratios and resolutions. At the time of its release, OpenAI mentioned that Sora's training data includes Minecraft videos, sparking curiosity about other potentially used game content. In practical tests, Sora is able to...

Google recently launched its next-generation artificial intelligence model, PaliGemma2, which can analyze images and generate captions while answering questions about the emotions and actions of people in the photos. Built on Google's Gemma open model series, PaliGemma2 offers more profound image descriptions than traditional object recognition, enabling it to identify emotions and generate contextually relevant detailed descriptions. However, despite this technology appearing to be a groundbreaking innovation, experts have raised serious warnings about its potential ethical and societal implications. Emotion recognition is not...

With the advancement of artificial intelligence technology, tech companies like Google and Meta are using user comments or reviews to generate AI responses on their platforms, which may lead to new defamation law risks. Legal experts in Australia point out that when users post allegedly defamatory comments on Google or Facebook, it is typically the users themselves who face legal liability. However, a significant ruling by the High Court of Australia in the Dylan Voller case in 2021 held that platforms hosting defamatory comments, such as social media pages, may also be held responsible for them.

Recently, Reserve Bank of India Governor Shri Shaktikanta Das issued a warning at a key meeting, stating that artificial intelligence (AI) and related platforms could exacerbate systemic risks in the Indian financial system. At this high-level meeting themed 'RBI90,' Das pointed out that while AI and machine learning open new business and profit growth opportunities for financial institutions, they also come with significant risks. He noted that a few AI service providers could dominate the market, leading to concentration.

Recently, OpenAI is undergoing a critical transformation, planning to shift from a non-profit lab to a for-profit company and preparing for a new round of massive funding. However, the company has been facing internal turmoil, with several executives including the Chief Technology Officer and Chief Research Officer resigning, raising concerns about OpenAI's future direction. Reportedly, Apple unexpectedly decided not to participate in OpenAI's latest $6.5 billion funding round, leading to a cooling of the financing plan. Despite this, OpenAI expects revenue to reach $300 million this year, a 17% year-on-year increase.

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.