商品描述
Small and medium-sized enterprises (SMEs) across Europe are increasingly adopting AI--yet many lack the resources to interpret and implement the complex requirements of the EU Artificial Intelligence Act (AI Act). This practical open access guide bridges the gap between regulation and business reality. Designed specifically for SMEs, the book explains the EU AI Act in clear, actionable terms. It helps organizations identify which AI systems fall under the regulation, determine their risk category, and understand the resulting obligations. Rather than treating compliance as a legal burden, the book shows how it can become a competitive advantage through strengthening customer trust, reducing operational risk, and supporting sustainable business growth. The book includes practical tools such as risk assessment checklists, internal audit steps, transparency guidelines, and examples of human oversight in AI workflows. It also explores long-term governance strategies, including embedding risk classification into development pipelines, aligning ethics with business strategy, and building responsible AI capabilities step by step. Combining regulatory clarity with business pragmatism, this book offers SMEs a roadmap for responsible and compliant AI adoption--without unnecessary complexity.
商品描述(中文翻譯)
在歐洲，中小型企業（SMEs）越來越多地採用人工智慧（AI），然而許多企業缺乏資源來解讀和實施歐盟人工智慧法案（AI Act）的複雜要求。本書是一份實用的開放存取指南，旨在彌合法規與商業現實之間的鴻溝。
本書專為中小型企業設計，以清晰且可行的術語解釋歐盟人工智慧法案。它幫助組織識別哪些人工智慧系統屬於該法規，確定其風險類別，並理解由此產生的義務。本書不將合規視為法律負擔，而是展示如何通過增強客戶信任、降低操作風險和支持可持續業務增長，將其轉化為競爭優勢。
本書包括實用工具，如風險評估檢查表、內部審計步驟、透明度指導方針，以及人工智慧工作流程中人類監督的範例。它還探討了長期治理策略，包括將風險分類嵌入開發流程、將倫理與商業策略對齊，以及逐步建立負責任的人工智慧能力。
本書結合了法規的清晰性與商業的務實性，為中小型企業提供了一條負責任且合規的人工智慧採用路線圖，無需不必要的複雜性。
作者簡介
Chalisa Veesommai Sillberg is a Postdoctoral Researcher at Tampere University's GPT Laboratory, contributing to the Generative Artificial Intelligence in Business Support (GENT) project. She has extensive experience in information and data analysis across diverse environmental studies, employing methods such as semantic computing, database management, and machine learning. Her current role primarily involves working on the EU AI Act to support a safe environment for AI systems in SMEs. Kai-Kristian Kemell is a Postdoctoral Researcher and Head of the GPT-Lab in Tampere University. His overarching research interest is studying Software Engineering (SE) processes and especially developing SE practices and methods. In this regard, his focus has recently been on using AI for SE, with a focus on Generative AI. Pekka Sillberg is a Postdoctoral Research Fellow at Tampere University. During his academic career, he has worked on various research projects, creating and designing different pilots and software applications for various needs and environments. His current interests are in technology and hardware to ensure smooth operation of software engineering and development. Mika Saari is a researcher and an educator, working as the vice-head of the GPT-lab in Tampere University. His expertise spans various areas, including the Internet of Things (IoT), sensor networks, and artificial intelligence. Her academic journey has been marked by curiosity, innovation, and a commitment to advancing knowledge. Katri Harjuveteläinen is a legal professional with extensive experience in AI and emerging technologies regulation, combined with deep expertise in data protection. She has served as legal counsel (AI & Data Protection Lead) and Chief DPO at Tampere University, advising on AI, data protection and research regulatory compliance. She is also pursuing a doctoral degree in Law at the University of Eastern Finland, where her research examines data protection in scientific and medical contexts. Muhammad Waseem is a Postdoctoral Research Fellow and Vice Head of the GPT Laboratory at Tampere University, Finland. He earned his PhD in Software Engineering from Wuhan University, China, and has extensive experience in software development, teaching, and applied AI research. His work focuses on leveraging Generative AI for software engineering development and research, closely collaborating with industry to address real-world challenges. Dr. Waseem has authored over 70 peer-reviewed publications in leading venues such as JSS, IST, ICSE, and EASE. Pekka Abrahamsson is a Full Professor of Software Engineering at Tampere University, Finland, and one of the most cited scholars in his field. He leads GPT-Labs, where his research focuses on generative and agentic AI in software-intensive systems, with an emphasis on trust, autonomy, and strategic resilience. He has held tenured professorships in Norway, Italy, and Finland, and was the first Software Engineering Professor elected to the Finnish Academy of Science and Letters.
作者簡介(中文翻譯)
Chalisa Veesommai Sillberg 是坦佩雷大學 GPT 實驗室的博士後研究員，參與生成式人工智慧在商業支持中的應用 (GENT) 項目。她在各種環境研究中擁有豐富的信息和數據分析經驗，採用語義計算、數據庫管理和機器學習等方法。她目前的角色主要涉及 EU AI 法案的工作，以支持中小企業中人工智慧系統的安全環境。 Kai-Kristian Kemell 是坦佩雷大學的博士後研究員及 GPT 實驗室負責人。他的研究興趣主要集中在軟體工程 (SE) 流程的研究，特別是開發 SE 實踐和方法。在這方面，他最近的重點是使用人工智慧進行 SE，特別是生成式人工智慧。 Pekka Sillberg 是坦佩雷大學的博士後研究員。在他的學術生涯中，他參與了各種研究項目，為不同需求和環境創建和設計各種試點和軟體應用。他目前的興趣在於技術和硬體，以確保軟體工程和開發的順利運行。 Mika Saari 是一名研究員和教育工作者，擔任坦佩雷大學 GPT 實驗室的副主任。他的專業涵蓋多個領域，包括物聯網 (IoT)、感測器網絡和人工智慧。他的學術旅程充滿了好奇心、創新和推進知識的承諾。 Katri Harjuveteläinen 是一名法律專業人士，擁有豐富的人工智慧和新興技術法規經驗，並在數據保護方面具有深厚的專業知識。她曾擔任坦佩雷大學的法律顧問 (人工智慧與數據保護負責人) 和首席數據保護官，提供有關人工智慧、數據保護和研究法規合規的建議。她目前也在芬蘭東部大學攻讀法律博士學位，研究主題為科學和醫療背景下的數據保護。 Muhammad Waseem 是坦佩雷大學 GPT 實驗室的博士後研究員及副主任。他在中國武漢大學獲得軟體工程博士學位，並在軟體開發、教學和應用人工智慧研究方面擁有豐富的經驗。他的工作專注於利用生成式人工智慧進行軟體工程的開發和研究，並與業界密切合作以解決現實世界的挑戰。Waseem 博士在 JSS、IST、ICSE 和 EASE 等頂尖期刊上發表了超過 70 篇經過同行評審的論文。 Pekka Abrahamsson 是芬蘭坦佩雷大學的軟體工程全職教授，也是該領域被引用最多的學者之一。他領導 GPT 實驗室，研究重點是軟體密集系統中的生成式和代理式人工智慧，強調信任、自主性和戰略韌性。他曾在挪威、意大利和芬蘭擔任終身教授，並且是第一位當選芬蘭科學與文學院的軟體工程教授。
