Vienna-based AI governance and compliance solutions provider Daiki GmbH today announced the completion of a €1.5 million seed funding round. The funds will be used to support the company's expansion into the European market and product development, marking a significant step for Daiki in promoting the responsible deployment of AI by European enterprises. Daiki offers SaaS compliance solutions tailored to the EU AI Act and ISO standards, including ISO 13485 certification for medical device manufacturers. The product, developed by a multidisciplinary team of experts, includes integrated documentation and quality management.

Recently, an AI model compliance checking tool developed by the Swiss startup LatticeFlow has drawn widespread attention. The tool tested generative AI models developed by several major tech companies, including Meta and OpenAI, revealing significant shortcomings in key areas such as cybersecurity and biased outputs. Image source note: The image was generated by AI, licensed by image service provider Midjourney since OpenAI released ChatGPT at the end of 2022.

Recently, the Federal Trade Commission (FTC) of the United States launched an enforcement action called 'AI Compliance Action,' suing five artificial intelligence companies accused of false advertising and fraudulent conduct. The FTC stated that these companies are charged with lying about the capabilities of their software or using AI technology to engage in illegal activities. Note: The image is AI-generated, and the image licensing provider Midjourney has reached a settlement with two of the sued companies, while the other three opted to go to court.

Recently, the "robot lawyer" company DoNotPay reached an agreement with the U.S. Federal Trade Commission (FTC) to pay a fine of $193,000. This action is part of the FTC's "AI Compliance Action" targeting companies that deceive consumers using artificial intelligence services. Note: Image generated by AI, licensed from service provider Midjourney. The FTC stated that DoNotPay claimed it would replace $200 billion worth of legal services with AI.

Recently, the U.S. Department of Justice (DoJ) introduced new requirements in the field of corporate compliance, particularly concerning the use of Artificial Intelligence (AI). As more businesses begin to leverage AI technology, this new regulation undoubtedly adds extra pressure on compliance officers. Companies now need to carefully consider the legal risks associated with AI, or else they may face hefty fines. Image source note: The image is AI-generated, courtesy of the image licensing provider Midjourney. Nicole Argenti, Chief Deputy Assistant Attorney General of the Criminal Division at the DoJ.

Recently, a spokesperson for Meta stated that the company will not immediately join the European Union's Artificial Intelligence Convention. This convention serves as a temporary measure to help businesses prepare for the upcoming regulations before the full implementation of the EU's AI Act. It is worth mentioning that this AI Act was approved by EU legislators in May of this year and is the world's first regulation specifically targeting the development and deployment of artificial intelligence. Under this act, companies will be required to provide a summary of the data used to train their AI models.

Recently, the US Department of Commerce released a proposal requiring artificial intelligence (AI) companies to provide detailed reports, aimed at stricter regulation of this rapidly evolving technological field. The notice, titled 'Proposed Rules,' was published on September 9, with the intention of ensuring the safety, reliability of AI technology, and preventing potential misuse by foreign adversaries or non-state actors. Photo credit: Image generated by AI, image licensed from Midjourney. Secretary of Commerce Gina Raimondo stated at a press conference that the rapid development of AI...

EU regulators have launched an investigation into Google's PaLM2 language model, focusing on data privacy compliance. The Irish Data Protection Commission is assessing the risks posed to EU residents' personal data. This underscores the EU's commitment to AI privacy rules and the global trend towards stricter data protection for AI technologies.....

The 'Self-Regulatory Initiative for the Generative Artificial Intelligence Industry' was launched at the 2024 China Internet Civilization Conference in Chengdu, initiated by the Artificial Intelligence Safety Governance Committee of the China Cybersecurity Association in collaboration with industry, academia, and research institutions. The initiative focuses on five core areas: compliance and safety of data and algorithm models to ensure legal and secure data usage; content ecosystem development to encourage positive content generation and maintain a healthy online environment; technological innovation and quality enhancement to advance technology and quality assessment; ethical standards that respect human rights and social values; and communication, cooperation, and openness.

Baidu Intelligent Cloud introduced the financial intelligence application "ZhiJin" at the 2024 China International Financial Expo, aiming to deeply integrate its leading AI large-model technology with core business scenarios in the financial industry to enhance operational efficiency and revenue for financial institutions.ZhiJin is tailored for four core scenarios: wealth management, asset evaluation, business compliance, and over-the-counter (OTC) trading, offering intelligent and efficient bus

Meta has stated that it will not launch its upcoming multimodal AI model in the EU due to regulatory concerns, which will prevent European companies from using the model, despite it being released under an open license. Meta spokesperson Kate McLaughlin told The Verge, "In the coming months, we will release the multimodal Camel model, but we will not launch it in the EU due to the unpredictability of the European regulatory environment."The EU has recently set a compliance deadline for the new A

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.

Researchers at Purdue University in Indiana designed a new method to successfully induce large language models to generate harmful content. They discovered potential dangers hidden within compliance responses. By using probabilistic data and soft labels to prompt the model, they achieved a success rate of up to 98%. The researchers caution the AI community to be prudent in open-sourcing language models and suggest that removing harmful content is a better solution.

IBM is launching the Watsonx.Governance toolkit to help enterprises and governments establish trust in generative AI. Watsonx provides a suite of tools for managing risks, enhancing transparency, and forecasting future AI regulatory compliance. By using Watsonx, enterprises can automate AI governance processes and monitor and manage their models.

Startup Cranium announced it has successfully raised $25 million, led by Telstra Ventures, bringing total funding to $32 million. Cranium offers customized software solutions to help enterprises assess AI security risks and compliance without disrupting workflows. The company's solutions include a private AI dashboard, AI connectors, and AI maturity scoring, aimed at ensuring the reliability and compliance of AI systems. Cranium plans to enhance its enterprise software platform to provide organizations with more secure and compliant solutions.

The heat of large models in the financial industry is unprecedented, with banks, insurance companies, and brokerage firms all making moves. However, three major obstacles—immature technology, compliance restrictions, and a lack of use cases—constrain their application. Currently, large models are limited to shallow areas such as intelligent customer service in financial scenarios, remaining far from core business functions. The technology of large models itself has defects in accuracy and judgment, which do not meet the 100% accuracy requirements of the financial sector. The training and use of large models must comply with data security regulations and are affected by compliance restrictions. The promotion of large models requires rich use case support, but currently, financial scenarios are not diverse enough.

Several AI painting websites have shut down, with the reasons yet to be revealed. The AIGC websites may be involved in compliance issues that require rectification, possibly related to algorithm filing and content review. Some companies claim that the shutdown is a normal upgrade maintenance, while large companies and startups remain unaffected.