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The9 Signed a Legally Binding Term Sheet with a Leading AI SaaS Legal Service Platform 365LAWHELP.COM

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The9 Limited (Nasdaq: NCTY) (“The9”), an established Internet company, today announced that it signed a legally binding term sheet (the “Term Sheet”) with Zhejiang Fazhidao Information Technology Co., Ltd. (“Fazhidao”) to purchase 19% shares of Fazhidao by cash and issuance of The9’s restricted shares. The9 is also granted a purchase option to purchase up to 51% of the total shares of Fazhidao, based on a valuation calculated as 7 times of Fazhidao’s audited annual profit after tax, provided that such valuation should be higher than US$80 million.
Established in 2019, Fazhidao owns and operates 365LAWHELP.COM and mobile app FaBaoWang, a leading artificial intelligence (AI) Software as a service (SaaS) legal service platform in China. It has more than 120,000 cumulative paid subscribers from large companies to micro companies and individuals. The gross sales were over US$50 million in 2023. 365LAWHELP.COM has provided more than 100 million times services to customers cumulatively. It has created large-scale AI legal models based on 13 billion model parameters, collecting historical legal service interactive data with the dynamic growth of more than 100,000 new consultation conversations data used for machine learning every day. Daily service data feeds back to the large-scale AI legal model at the same time, continuously improving the service quality.
365LAWHELP.COM develops AI legal Generative Pre-trained Transformer (Gpt) which provides the legal advice that complies with the laws and regulations based the platform’s real-time data. Based on database cases and AI model calculations, precaution measures and potential solutions are provided. Also future event development is predicted for customers to plan in advance develop forecasts and feasibility plans. The platform also provides the highest level of confidentiality for all customers’ information. The services offered include professional online legal consultation, one-stop enterprise-specific compliance services, tax consulting services, contract customization and review, electronic signatures, contract template download, legal letter submission, litigation document drafting and risk management and control solutions for enterprises’ modules including human resources, finance, administration and intellectual property.
Pursuant to the Term Sheet, The9 will pay cash consideration of US$1 million and will issue restricted Class A ordinary shares to Fazhidao with the value of US$14.2 million. The value of each share will be determined by the average closing price of The9 ADS 20 trading days prior to the signing of the definitive agreement. A portion of restricted shares will be released from lock-up when the market capitalization of The9 will reach US$200 million, US$500 million and US$1 billion respectively. The rest of the restricted shares shall be released from the lock-up when either of the following conditions are met: Fazhidao completes a qualified IPO and its shares owned by The9 become freely tradable in the open market; or if and when the The9 exercises its purchase option and, as a result, holds a minimum 51% of the then total share capital of Fazhidao. Fazhidao may undergo certain restructuring to facilitate these conditions.
“We are the leading AI SaaS legal service platform in China. We are the pioneer in this industry to use AI and industry big data to address the legal needs for enterprises effectively and efficiently. With the storage of substantial volume of industry data and by leveraging AI legal models to support its legal technology services, our AI platform has becoming more and more powerful to provide our customers with convenient and professional services. Our proprietary AI SaaS legal technology has already obtained 52 Software invention patents, copyrights and trademarks in China. There are more than 50 million companies in China. Majority of these are micro companies without in-house legal counsel. In 2023, the legal service market in China was approximately US$40 billion. There is a big room for us to increase our paid subscribers in China to 1 million in 3 years. The legal service market in the U.S. is even much bigger, being approximately US$300 billion in 2023. We observed there are several AI legal platforms in the U.S. with shorter history than us and doing very well in the U.S. With the investment from The9, we are going to strengthen our proprietary development ability and we are confident to safeguard our leading position in China and seek for global expansion in future. Our vision is to use AI legal technology to serve the billion individual and corporate markets in China and the U.S. through continued and focused AI legal technology improvement, and to deliver efficient, professional and affordable AI legal solutions. Everyone will no longer have legal troubles,” said Mr. Junkai Li, founder and CEO of Fazhidao.
“We believe AI technology and application will bring revolutionary changes to almost every industry in the World. Therefore huge market opportunities will be created for many industries. This investment is part of The9’s overall strategy to start with AI application business, including integrating AI technology into our business, partnering with other AI companies and investing and acquiring innovators who have developed their own AI applications,” said Mr. George Lai, CFO and Director of The9.
Safe Harbor Statement
This current report contains forward-looking statements. These statements are made under the “safe harbor” provisions of the United States Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates” and similar statements. Such statements are based upon management’s current expectations and current market and operating conditions and relate to events that involve known or unknown risks, uncertainties and other factors, all of which are difficult to predict and many of which are beyond The9’s control. The9 may also make written or oral forward-looking statements in its periodic reports to the U.S. Securities and Exchange Commission (“SEC”), in its annual report to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties. Statements that are not historical facts, including statements about The9’s beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: The9’s goal and strategies; The9’s expansion plans; The9’s future business development, financial condition and results of operations; The9’s expectations regarding demand for, and market acceptance of, its products and services; The9’s expectations regarding keeping and strengthening its relationships with business partners it collaborates with; general economic and business conditions; and assumptions underlying or related to any of the foregoing. Further information regarding these and other risks is included in The9’s filings with the SEC. All information provided in this current report is as of the date hereof, and The9 does not undertake any obligation to update any forward-looking statement, except as required under applicable law.
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Sainsbury’s aims to be an ‘AI-enabled grocer’ with Microsoft AI technology

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Sainsbury’s, a prominent UK supermarket chain, is set to leverage Microsoft’s artificial intelligence and machine learning tools to elevate its store operations and provide customers with a more engaging and convenient shopping experience.
As part of its strategic initiative, the ‘Next Level Sainsbury’s strategy’, the supermarket will integrate generative AI, powered by Microsoft Azure, to enhance its online shopping platform and optimize customers’ search experience. By harnessing AI capabilities, Sainsbury’s aims to offer a more interactive and personalized online shopping journey for its millions of customers across the UK.
In addition to enhancing the online shopping experience, Sainsbury’s plans to equip its store colleagues with real-time data and insights to streamline in-store processes such as shelf replenishment. Leveraging multiple data inputs, including shelf-edge cameras, AI technology will guide colleagues on prioritizing restocking activities, thereby improving efficiency and productivity.
Over the next five years, Sainsbury’s will deploy Microsoft Azure to implement these initiatives, integrating data assets with Microsoft 365 collaboration tools to drive innovation and operational excellence.
Clodagh Moriarty, Chief Retail and Technology Officer at Sainsbury’s, expressed confidence in the collaboration with Microsoft, emphasizing its role in accelerating the supermarket’s ambition to become the UK’s leading AI-enabled grocer. Moriarty highlighted the strategic investment in transformative capabilities, aimed at enhancing efficiency, productivity, and customer service while delivering value to shareholders.
Clare Barclay, CEO of Microsoft UK, commended Sainsbury’s visionary approach, noting its commitment to placing AI at the forefront of its business strategy. Barclay expressed enthusiasm for the collaboration, emphasizing its potential to revolutionize the retail experience for both customers and store colleagues.
The partnership between Sainsbury’s and Microsoft signifies a significant step towards ushering in the next generation of retail, powered by innovative AI-driven solutions.
Source: technologyrecord.com
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Researchers build AI-driven sarcasm detector

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Artificial intelligence has made remarkable strides, from passing bar exams to reading bedtime stories with emotion. Yet, despite these feats, it still falls short of matching the intricate nuances of human communication—particularly, the art of sarcasm.
However, researchers in the Netherlands are determined to change that narrative. They have developed an AI-driven sarcasm detector that can discern when sarcasm is being used, a feat previously thought to be exclusive to human cognition.
Matt Coler, from the University of Groningen’s speech technology lab, expresses excitement about the project’s progress. He emphasizes the importance of understanding sarcasm, a pervasive aspect of human discourse, to facilitate seamless communication between humans and machines.
Recognizing sarcasm poses challenges due to its subtlety, especially in text-based interactions where cues like tone and facial expressions are absent. To overcome this, researchers trained their AI using a combination of text, audio, and emotional content from popular sitcoms like Friends and The Big Bang Theory.
The AI, trained on annotated data from these shows, demonstrated an impressive ability to detect sarcasm in unlabelled exchanges from the sitcoms, achieving an accuracy rate of nearly 75%. Further enhancements are underway, including incorporating visual cues like eyebrow movements and smirks, to improve accuracy even more.
Beyond enhancing interactions with AI assistants, this technology holds potential for detecting negative language and identifying instances of abuse or hate speech. However, as AI becomes more adept at understanding sarcasm, questions arise about its potential to wield sarcasm itself.
Coler muses about the implications of machines responding with sarcasm, raising concerns about clarity in communication. Nonetheless, advancements in AI-driven sarcasm detection offer promising prospects for improving human-machine interactions and bridging the gap between artificial and human intelligence.
Source: theguardian.com

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AI, bias and experiments: how Women in News is tackling tech’s inbuilt stereotypes

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Issues surrounding bias in AI are deeply rooted in the accuracy, trustworthiness, and quality of data, which, if overlooked, can significantly skew outcomes. Lyndsey Jones, an AI author and transformation coach, delves into these concerns, offering valuable insights for newsrooms on monitoring and reviewing data.
Madhumita Murgia, an AI journalist and the first artificial intelligence editor of the Financial Times, sheds light on how women, migrants, precarious workers, and minority groups are disproportionately affected by the technical limitations of Generative AI. Murgia emphasizes the lack of representation of these groups in the development process of AI technologies, highlighting the need for inclusive participation.
WAN-IFRA Women In News workshops on the Age of AI in the newsroom have brought bias effects to the forefront. Through the Digital ABCs training program, media professionals are equipped with skills to navigate the digital landscape and drive organizational change.
A newly launched module focuses on AI, with over 100 participants in eastern Europe taking part, now extended to journalists in parts of Africa, the Middle East, and Southeast Asia. Instances of bias surfaced during the training, such as generating offensive avatars and misinterpretation of accents in AI tools.
Google CEO Sundar Pichai’s acknowledgment of biased AI tools reflects ongoing concerns in the industry. Timnet Gebru’s dismissal from Google for highlighting biases further underscores the need for vigilance in addressing these issues.
Diverse teams in WIN’s Age of AI program are experimenting with various tools like fact-checking and enhancing staff skill sets in AI usage. Projects under consideration for further EU funding include a video lab for content amplification and an AI avatar for journalist safety.
Media companies must ensure diverse staff collaboration when testing AI tools. Quotas for women in AI research and cross-border partnerships may be necessary for smaller media groups to compete effectively.
Journalists can take steps to improve content quality by examining storytelling practices and ensuring diversity in sources and representation. Consistency of data collection across departments and assessing biases in data sets are crucial for ethical AI usage in journalism. Ultimately, AI tools should be used to enhance journalism’s quality and integrity, rather than generating clickbait or misinformation.
Source: wan-ifra.org

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