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Taiwan AI Labs Founder Ethan Tu at NATO Summit

Photo Caption: Ethan Tu, founder of Taiwan AI Labs, was invited to Washington, D.C. to attend the NATO summit. He delivered a speech on the topic of information warfare during the 2024 European Parliament elections and engaged in discussions with the Special Competitive Studies Project (SCSP), an AI and national security think tank based in Washington.

 

[Taipei, Taiwan, July 12, 2024]  The manipulation of information by certain forces to influence election outcomes has become a global concern. On July 9, Ethan Tu, founder of Taiwan AI Labs, attended the NATO summit in Washington, D.C., where he delivered a speech addressing the issue of information manipulation during the 2024 European Parliament elections. Tu called for the establishment of trustworthy AI verification mechanisms to address the current crisis of information warfare facing democracies.

Taiwan AI Labs’ cognitive security tool, Infodemic, was utilized to analyze 26,011 social media battlefields and 335,045 major news stories across multiple platforms, including Facebook, YouTube, and X, from July 1, 2023, to June 24, 2024. According to Infodemic’s analysis, during the EU Parliament Election period, there were 20,041 troll group accounts displaying abnormal behavior, not operated by genuine users. These troll groups accounted for 12.58% of the discussions related to the EU Parliament Election.

The most influential troll groups were divided into two main categories. One group focused on Eastern European geopolitics and international military issues, such as the Russia-Ukraine war and NATO actions. The other group concentrated on attacking Western democratic systems, particularly the UK and the US, spreading negative narratives about national leaders and government decisions, aiming to undermine public confidence in democratic institutions. Further analysis revealed that these groups operated transnationally, also engaging in issues related to the US presidential election.

Troll Groups Align with Authoritarian State Media: European Parliament Faces Information Warfare Similar to Taiwan’s Presidential Election

The analysis indicated that these troll groups shaped public opinion by criticizing mainstream media for lack of impartiality, amplifying Russian propaganda, and attacking EU digital regulations aimed at combating misinformation and hate speech. This rhetoric potentially fosters far-right conservative ideologies and aims to instill doubt about the threats posed by the rise of extremism.

Moreover, during the same period, Infodemic used FedGPT to analyze 1,624 major news events, finding that 16.07% were related to Russian and Chinese state media. Notably, during the European Parliament election, on key issues such as the Russia-Ukraine war, energy security, digital regulation, immigration, and climate, the narratives of these troll groups aligned with those of Russian and Chinese state media, challenging the EU’s leadership narrative.

For instance, comparing July-August 2023 to September-October 2023, online attacks on the EU’s support for Ukraine increased from 30.5% to 34.97%. Negative public opinion on economic issues, particularly energy security, accounted for 22.04% of troll group narratives in September-October 2023, making it one of the largest battlegrounds during the election period.

Tu specifically pointed out that these opinion manipulation strategies are similar to phenomena observed by Infodemic during Taiwan’s 2024 presidential election. Troll groups exploited issues like military spending and energy security to erode public trust in the government and Taiwan’s international allies. Compared to traditional election propaganda, the information warfare strategies used by these troll groups are more sophisticated. They do not merely spread misinformation on single issues but weave targeted narratives across multiple countries and topics into everyday online interactions, deepening their impact on public opinion. This presents a significant challenge to democratic governance.

Global Stability Threats Extend Beyond Physical Battlefields: Developing Trustworthy AI Mechanisms to Counter Information Warfare

In the NATO summit speech, Taiwan AI Labs built on its recent engagement at the inaugural AI Expo for National Competitiveness held in May 2024 in the U.S. This event facilitated another critical exchange with the influential Washington think tank, the Special Competitive Studies Project (SCSP), focusing on the pressing issues of information warfare and national security.

Photo Caption: At the first AI Expo for National Competitiveness, Taiwan AI Labs was invited to participate. Founder Ethan Tu delivered a speech, sharing Taiwan’s experience in developing large open-source language models TAIDE and TAME, as well as further establishing the alliance-level FedGPT. He discussed applying AI technology to identify information manipulation and protect digital democracy.

 

Before the NATO summit, SCSP Executive Director Ylli Bajraktari published an article on Project Syndicate, a leading global commentary website, titled “AI-Augmented Disinformation Is NATO’s New Battlefield.” Bajraktari emphasized that the threats to global stability have surpassed traditional military domains. NATO member states must directly respond to cognitive warfare initiated by hostile authoritarian regimes. Specific measures include investing in tools capable of identifying content authenticity, such as large language models (LLMs) and AI classifiers, to detect AI-generated or altered content and identify malicious activities by adversarial factions on digital platforms, thereby reducing their influence on the public. Additionally, given that information manipulation often transcends national borders, NATO should ally with governments, civil organizations, and private companies to establish early warning systems and collaborate to counter large-scale information warfare.

Ehtan Tu stated that 2024 is a global election year, and echoing Ylli Bajraktari’s views, it is crucial to collaborate with reliable partners to establish AI mechanisms that expose information manipulation tactics by coordinated online accounts, thereby enhancing the resilience of democratic systems against threats such as disinformation and ideological polarization. Taiwan AI Labs’ Infodemic platform is an AI-driven cognitive security platform designed to detect modern information warfare practices, track the spread of false information, and reveal the targets, tactics, and strategies employed by adversaries that may impact national security.

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Global Debut of Traditional Chinese Financial GPT: Taishin Brain Launches

[Taipei, Taiwan, July 5, 2024]Taiwan AI technology is poised to revolutionize the global financial industry. Today, Taishin Bank and Taiwan AI Labs announced the official launch of “Taishin Brain,” a groundbreaking financial GPT system tailored for the financial sector with Traditional Chinese as its core language. This project marks a new chapter in Taiwan’s financial AI innovation.

“Taishin Brain” integrates the advanced FedGPT, a Traditional Chinese large language model, within a framework of trusted and responsible AI. Unlike conventional GPT models, it is meticulously trained using Taishin Bank’s internal data and knowledge, including financial regulations and expertise, ensuring it meets stringent global regulatory standards. This makes “Taishin Brain” the world’s first Traditional Chinese language model to address the highly regulated financial sector’s demands.

With specialized training in financial expertise, “Taishin Brain” delivers precise, intelligent responses even to ambiguous queries, setting a new standard for humanized AI in the financial domain. Leveraging federated learning (FedGPT), it ensures data privacy and security while utilizing Taishin Bank’s professional data to meet the unique needs of financial institutions. This integration enhances the professionalism and efficiency of human customer service.

Through advanced AutoML capabilities, “Taishin Brain” autonomously learns and continuously improves. It connects with Taishin Bank’s internal financial systems via AutoCopilot to streamline processes effectively.

“Taishin Brain” is a pioneering leap in financial technology, positioning Taiwan’s financial industry at the forefront of global intelligence and significantly boosting the competitiveness of Taiwan’s financial market.

 

FedGPT: Taiwan’s First Enterprise-Dedicated Traditional Chinese GPT

While ChatGPT interacts, analyzes, and provides information across various data formats, its training in the Chinese domain has primarily focused on Simplified Chinese, with limited financial expertise. In contrast, FedGPT, developed by Taiwan AI Labs in 2023, is designed for Traditional Chinese and specialized fields like finance, healthcare, and media.

FedGPT’s federated learning model allows institutions to keep data in-house while training on diverse document types, ensuring compliance with the Financial Supervisory Commission’s AI guidelines. Users can select knowledge bases tailored to their specific institution and domain, resulting in more accurate financial responses.

 

Technological Innovation Meets Financial Expertise

“Taishin Brain” leverages internal technical fine-tuning and automated machine learning, enabling effective training with minimal data and resource usage. The system continuously updates and optimizes based on data, ensuring accurate and reliable responses in the financial sector.

 

Building a Comprehensive Knowledge Base

The first phase of “Taishin Brain” focuses on establishing an extensive knowledge base, including financial regulations, legal knowledge, and Taishin Bank’s corporate data. This resource will significantly enhance internal information retrieval and employee efficiency.

 

Commitment to Information Security and Privacy

“Taishin Brain” uses AI algorithms to prevent biases, hallucinations, and harmful content. Secure classifiers filter inappropriate material, and data governance ensures legality, compliance, and explainability, enhancing model training efficiency and data privacy.

 

Practical Applications: Smart Customer Service and Knowledge Management

“Taishin Brain” excels in smart customer service and knowledge management. Unlike traditional chatbots, its generative AI integrates information and provides intelligent, accurate responses, addressing customer service pain points, reducing labor costs, and improving corporate efficiency.

Ethan Tu, founder of Taiwan AI Labs, stated, “Our goal is to develop a trusted and responsible AI that is human-centered and protects privacy. As the world considers integrating ChatGPT into financial institutions, we are addressing labor and time cost challenges, providing intelligent customer service solutions both internally and externally.”

Taishin Bank views “Taishin Brain” as a significant breakthrough in Taiwan’s financial technology sector, enhancing service quality and customer experience. In collaboration with Taiwan AI Labs, Taishin Bank will continue to develop this AI brain for its employees and customers, offering intelligent, convenient solutions across more domains in the future.

 

About FedGPT (https://yating.tw/zh-hant/fedgpt-landing)

FedGPT is an on-premises large language model technology developed by Taiwan AI Labs. It is built using Taiwan’s own LLM (Large Language Model) technology, trained with over 60 billion tokens of Traditional Chinese corpus. The model emphasizes providing grounded responses based on internally established knowledge bases or verified through federated learning alliances, ensuring a trustworthy AI model. The technology adheres to principles of trusted and responsible AI, with a strong emphasis on information security.

 

About Taiwan AI Labs

Taiwan AI Labs (https://ailabs.tw)  , operating under the guiding principle of trusted AI, effectively integrates generative AI into a range of solutions, including smart healthcare, federated learning, AI virtual hosts, future scenario generation studios, and news analysis platforms. In the field of human-computer interaction, they develop technologies for AI-generated music and art, speech recognition, and semantic understanding. A major application addresses the global concern of disinformation and fake news, analyzing the context and patterns of information manipulation. These achievements have sparked lively discussions internationally and have been frequently recognized and published in authoritative international journals.

 

Taiwan AI Labs continues to lead cutting-edge AI research, aspiring to form a national AI team by integrating talent, resources, and the industrial chain. Their goal is to establish a Taiwan Federated Learning Industry Alliance and promote federated solutions from both public and private clouds to a global audience.

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Taiwan AI Labs Partners With Shin-Kong Hospital for Ensuring Quality in Clinical Application of NGS

Medical care in cancer treatment planning and inherited disease diagnosis have increasingly adopted genetic-based examination as part of standard medical care. At the beginning of 2021, the Taiwan Food and Drug Administration(TFDA) modified the “Regulations Governing the Application or Use of Specific Medical Techniques or Examinations, or Medical Devices,” which added the guidance of the regulatory approach to genetic testing. Guidelines specifically describe how clinical laboratories design, develop, and validate tests. Also, it identifies the role and responsibility of healthcare institutes for adopting these new testing in the patient journey.

Among the varieties of genetic testing technology, NGS has the potential to bring vast amounts of data, meaning that efficient systems for storage and QC evaluation are more essential than ever. TAIGenomics, under Taiwan AI Labs, has continued to collaborate with the Precision Medicine Center of Shin Kong Hospital(SKH) over the past three years to implement a clinical-user-friendly platform called QCheck into their medical flow. This platform follows up different guidelines and regulations, such as FDA, ACMG, NYSDOH, and CAP, and provides different perspectives to monitor the quality of NGS-based genetic testing.

“TAIGenomics is delicate in combining the power of informatics talents and clinicians. In the future of precision medicine, we want to provide the security of recognized certification and ensure clinical labs deliver optimum performance, quality, and safety in sensitive clinic-genomic data,” Taiwan AI Labs Founder Ethan Tu said in a statement.

↑　QCheck (Accumulate and Validate your omics data quality with trusted international guidelines): Developed by Taiwan AI Labs with graphic-interface, comprehensive quality item, and automatic reports for clinicians and pathologists. Assist with the omics data quality check and comply with LDTs regulations in Taiwan and international guidelines.

“We had set up the precision medicine center in 2018, which aims to accelerate the processing of adopting new technology into the clinical field,” Superintendent from SKH, Sheng-Mou Hou, said in a statement. “With the enhancement of the regulation, healthcare providers and examination laboratories must ensure high levels of data quality and rigorous validation in variant interpretation for the adoption of companion diagnostics.”

“As a gatekeeper in Shin-kong hospital, our mission is to assure testing quality from the clinical laboratories,” Director from Precision Medicine Center ar SKH, Hong-Jhih Lai, said. “We deployed troops in preparation for the regulation. We have already collected and confirmed more than 1,000 cases in the last three years and will keep optimizing the workflow with the TAIGenomics team.”

↑　Smart medical information system: Combined with the information management system and QCheck software, quality control is carried out for the genetic testing items of testing manufacturers. If it doesn’t meet the regulations,  the center will request the testing manufacturers to re-test.　

Errors will occur in all areas of laboratory testing. When it happens in genetic testing, it can prompt clinical decisions with a high risk since it’s not easy to be identified. As genetic testing has become the future of medicine, all stakeholders in precision medicine industries should think beyond the baseline standard and start working on a more high-quality validation system.

台灣人工智慧實驗室攜手新光醫院　實現病患個人化醫療

　癌症治療及遺傳疾病已經跨入精準醫療時代，為了提升台灣疾病檢測及臨床服務的品質，衛福部於110年2月9日發布了修正版特管辦法，因應醫療服務品質及醫療技術的發展，將實驗室開發檢測(Laboratory Developed Tests, LDTs)也納入其中。台灣人工智慧實驗室(Taiwan AI Labs)與新光醫院精準醫學中心透過臨床及技術的雙向合作，超前部署開發出精準醫學中心之「智慧醫療資訊系統」，針對多項實驗室開發檢測，特別是次世代定序檢測，進行自動化品管驗證，新光醫院成為台灣首家醫學中心將基因檢測品質導入第三方數據品質管理的概念，為病患的檢測服務優先把關。

台灣人工智慧實驗室創辦人杜奕瑾表示，以台灣強大的軟實力加上醫學中心寶貴的臨床經驗，結合資訊管理的創新能力及臨床實際的需求，我們走在特管法之前，即透過國際標準為原則，針對各家廠商開發出的檢測做第三方的把關，作為醫療品質和數據品質的守門員，讓患者能得到高品質且適當的服務，則是此系統的初衷，在累積這些高品質把關下的結果，未來實驗室將會繼續與新光醫院合作，透過AI技術來建立精準醫療的解決方案。

新光醫院院長侯勝茂坦言隨著醫療科技進步及環境變遷影響，許多公司加入診斷療法的研發，精準醫療與大數據的應用也愈來愈多元；新光醫院於2018年成立了精準醫學中心，就是希望能夠促進個人化醫療服務，而法規的修正則更增加了實驗室開發檢測的嚴謹度，讓品質優良的數據能提供更精準的判讀結果。具多年臨床經驗的精準醫學中心暨血液腫瘤科主任賴泓誌醫師指出，醫院在為病患選擇最佳療法，需以病患權益出發作考量，還要同時做好品質及臨床的控管，才能避免對檢測結果的錯誤解讀而影響病人的治療。過去這兩年以來，新光醫院使用此系統共檢查了一千多筆檢測報告的數據品質，同步儲存原始檢測資料，提前為LDTs法規檢核標準做準備。隨著醫院擴展檢測項目，以及檢體送檢的數量增加的情況下，此定序品質資訊系統確實提供了第三方的品管認證作為檢測數據品質好壞的判斷依據。

近年來個人化醫療意識逐漸增加，根據 Research and Markets 統計，2025年以前全球精準醫療市場規模將達到 1,126 億美金。因此現今的基因檢測已不限於癌症治療，針對新生兒、遺傳疾病、代謝疾病、個人健康與老化等，皆有多元的產品及服務推出，該如何選擇最佳的診斷及為個人基因數據的把關，則應透過智慧化的檢測品質資訊系統，協助解決臨床實際面臨的問題。未來精準醫療服務，要如何減輕病人身心負擔、節省醫療資源及持續創新產品，健全的法規、醫療、科技三者的結合是必然的趨勢。

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Columbia University and Taiwan AI Labs sign MOU to accelerate AI application for sustainable development

Responding to the UN’s “2030 Sustainable Development Goals,” Taiwan AI Labs and the Center for Sustainable Development (CSD) at Columbia University signed a Memorandum of Understanding (MOU) focusing on key collaborations in artificial intelligence (AI) and data governance. The move aims at enhancing academic cooperation and developing human-centered AI solutions to achieve the global sustainable development goals.

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“Taiwan AI Federated Learning Alliance” encourages AI advancement while protecting privacy rights

The Taiwan AI Federated Learning Alliance launched today was created to encourage AI advancement while protecting privacy rights. Taiwan’s achievements in the deployment of technology for epidemic prevention and in federated learning have attracted global attention.

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Taiwan AI Labs publishes “Islander 2020 Taiwan Annual News and Public Opinion Observation List”

Taiwan AI Labs’ Islander system today (December 2020) released the “2020 Taiwan Annual News and Public Opinion Observation List.” This list includes this years’ most inflammatory news headlines, news events which triggered the most suspicious public opinion, and news events with the highest positive and negative sentiments.

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Tri-Service General Hospital and Taiwan AI Labs co-create AI Hospital

Tri-Service General Hospital and Taiwan AI Labs signed a letter of intent announcing their intent to collaborate in co-creating an AI Hospital that deploys AI for clinical usage. Tri-Service General Hospital will provide medical data and healthcare professionals, who will collaborate with Taiwan AI Labs’ professionals to develop AI technology that enables increasingly accurate and efficient medical services.

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台灣聯合學習醫療聯盟啟動

「台灣聯合學習醫療聯盟」今日於台灣人工智慧實驗室 (Taiwan AI Labs) 由陳建仁前副總統、國發會高仙桂副主委、科技部林敏聰次長、疫情指揮中心張上淳召集人、食藥署李明鑫主秘、臺大楊泮池前校長、臺大醫院吳明賢院長、北醫附醫陳瑞杰院長、北榮陳適安副院長、三總王智弘院長、台北慈濟醫院鄭敬楓副院長、中國醫藥大學附設醫院許凱程主任等多家醫學中心代表與計畫主持人，以及Taiwan AI Labs創辦人杜奕瑾共同宣佈啟動。

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抗疫即戰力！Taiwan AI Labs老藥新用模擬資料庫躍上國際期刊

台灣人工智慧實驗室與中研院、臺灣大學、陽明大學等國內學研單位COVID-19合作平台，在科技部支持下，從「老藥新用」角度著手，投入在較可能有效用之化合物上，加速研究進度。DockCoV2目前已累積兩萬多筆模擬結果，並於2020年10月刊登於Google Scholar生物化學研究領域排名第一的期刊《核酸研究 (Nucleic Acids Research)》。

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