Apple has sued OpenAI and two former employees, alleging misappropriation of its trade secrets as the artificial intelligence company seeks to build its own hardware for ChatGPT, a major rupture in a partnership between the iPhone maker and the AI giant. The complaint, filed in a California federal court on Friday, alleges a coordinated effort to steal Apple's confidential information, including product designs, manufacturing processes and supply chain strategies. The lawsuit names Chang Liu, a former senior system electrical engineer, and Tang Yew Tan, a former vice president of product design for the iPhone and Apple Watch, as defendants, along with the OpenAI Foundation, OpenAI Group PBC and io Products. Neither defendant immediately responded to a request for comment. Apple alleged that Liu failed to return a company-issued work laptop and later used an authentication bug to access Apple's internal network, downloading "dozens of Apple's confidential hardware-related files".

Apple filed a lawsuit against OpenAI on Friday alleging the artificial intelligence firm stole company trade secrets in a move to create its own hardware device. The suit claims OpenAI poached Apple employees, coaxing them to hand over confidential material, product designs and other tightly held information. "Recently, significant evidence has emerged suggesting individuals employed by OpenAI wrongfully took Apple's secret and confidential information regarding our unreleased technologies, processes, and products," an Apple spokesperson said in an email. Drew Pusateri, a spokesperson for OpenAI, said the company was reviewing the court filing. "We have no interest in other companies' trade secrets," he added.

Apple calls OpenAI's hardware business'rotten to its core' in trade secret theft lawsuit Apple calls OpenAI's hardware business'rotten to its core' in trade secret theft lawsuit The lawsuit also names io Products, the hardware company led by Jony Ive. Apple is suing OpenAI and two of its former employees who currently work at the AI company, for theft of its trade secrets. In a lawsuit filed in federal court Friday, Apple alleges extensive misconduct by the company it once partnered with, describing its hardware business as rotten to its core. The lawsuit also names io Products, the Jony Ive-led hardware startup acquired by OpenAI last year, as complicit in the trade secret theft. It doesn't mention Ive by name, but described the organization as complicit in a coordinated pattern of misconduct at an institutional level within OpenAI.

US judge dismisses Musk's xAI trade secret lawsuit against OpenAI A United States federal judge has dismissed a lawsuit by Elon Musk's artificial intelligence company xAI that accused rival Sam Altman's OpenAI of stealing trade secrets for chatbots. US District Judge Rita Lin in San Francisco said on Monday that xAI failed to show that OpenAI induced former xAI senior engineer Xuechen Li to divulge confidential information related to its Grok chatbot, or that OpenAI engineers knew Li might have disclosed any. She dismissed an earlier version in February. The lawsuit originally filed last September focused on broader alleged misappropriation of confidential information, including source code, by xAI employees who left for jobs at OpenAI. Monday's decision is Musk's second legal loss against OpenAI in four weeks. On May 18, a federal jury ruled against Musk, the world's richest person, in his $150bn lawsuit accusing OpenAI and Altman of "stealing a charity" by betraying the company's original mission as a nonprofit to enrich themselves.

A federal jury on Thursday convicted Linwei Ding, 38, of seven counts of economic espionage and seven counts of theft of trade secrets after an 11-day trial in the U.S. District Court in the Northern District of California.

To prepare AI agents for office work, the company is asking contractors to upload projects from past jobs, leaving it to them to strip out confidential and personally identifiable information. OpenAI is asking third-party contractors to upload real assignments and tasks from their current or previous workplaces so that it can use the data to evaluate the performance of its next-generation AI models, according to records from OpenAI and the training data company Handshake AI obtained by WIRED. The project appears to be part of OpenAI's efforts to establish a human baseline for different tasks that can then be compared with AI models. In September, the company launched a new evaluation process to measure the performance of its AI models against human professionals across a variety of industries. OpenAI says this is a key indicator of its progress towards achieving AGI, or an AI system that outperforms humans at most economically valuable tasks. "We've hired folks across occupations to help collect real-world tasks modeled off those you've done in your full-time jobs, so we can measure how well AI models perform on those tasks," reads one confidential document from OpenAI.

Suit alleges OpenAI has a'troubling pattern' of hiring former xAI workers to access secrets about the Grok chatbot Elon Musk's artificial intelligence startup xAI has accused rival OpenAI of stealing its trade secrets in a new lawsuit, the latest in Musk's legal assault on his former business partner, Sam Altman. The lawsuit, filed on Wednesday in California federal court, alleged that OpenAI was engaged in a "deeply troubling pattern" of hiring away former xAI employees to gain access to trade secrets related to its AI chatbot Grok . The company says OpenAI is pursuing unfair advantages in the race to develop AI technology. "OpenAI is targeting those individuals with knowledge of xAI's key technologies and business plans, including xAI's source code and its operational advantages in launching data centers, then inducing those employees to breach their confidentiality and other obligations to xAI through unlawful means," the lawsuit states. Musk and xAI have launched numerous lawsuits against OpenAI in recent years as part of a longstanding feud between Altman and Musk.

Large Vision-Language Models (LVLMs) exhibit impressive potential across various tasks but also face significant privacy risks, limiting their practical applications. Current researches on privacy assessment for LVLMs is limited in scope, with gaps in both assessment dimensions and privacy categories. To bridge this gap, we propose Multi-P$^2$A, a comprehensive benchmark for evaluating the privacy preservation capabilities of LVLMs in terms of privacy awareness and leakage. Privacy awareness measures the model's ability to recognize the privacy sensitivity of input data, while privacy leakage assesses the risk of the model unintentionally disclosing privacy information in its output. We design a range of sub-tasks to thoroughly evaluate the model's privacy protection offered by LVLMs. Multi-P$^2$A covers 26 categories of personal privacy, 15 categories of trade secrets, and 18 categories of state secrets, totaling 31,962 samples. Based on Multi-P$^2$A, we evaluate the privacy preservation capabilities of 21 open-source and 2 closed-source LVLMs. Our results reveal that current LVLMs generally pose a high risk of facilitating privacy breaches, with vulnerabilities varying across personal privacy, trade secret, and state secret.

The sharing economy is sprawling across almost every sector and activity around the world. About a decade ago, there were only a handful of platform driven companies operating on the market. Zipcar, BlaBlaCar and Couchsurfing among them. Then Airbnb and Uber revolutionized the transportation and hospitality industries with a presence in virtually every major city. Access over ownership is the paradigm shift from the traditional business model that grants individuals the use of products or services without the necessity of buying them. Digital platforms, data and algorithm-driven companies as well as decentralized blockchain technologies have tremendous potential. But they are also changing the rules of the game. One of such technologies challenging the legal system are AI systems that will also reshape the current legal framework concerning the liability of operators, users and manufacturers. Therefore, this introductory chapter deals with explaining and describing the legal issues of some of these disruptive technologies. The chapter argues for a more forward-thinking and flexible regulatory structure.

A former Google engineer was arrested in California on Wednesday for stealing more than 500 files containing artificial intelligence trade secrets from the company and using the information to benefit rival tech companies in China. In an indictment that was unsealed in a federal California court, prosecutors accused Linwei Ding, a 38-year-old Chinese national who started working at Google in 2019, of uploading trade secrets from his Google-issued laptop to personal cloud storage accounts. The documents that Ding stole involved "building blocks" of Google's AI infrastructure, according to the indictment. Ding was arrested in Newark, California, and charged with four counts of theft of trade secrets. If convicted, he can be sentenced up to 10 years in prison and a fine of up to 250,000 for each count.