The AI Act Handbook Compliant Usage of Artificial Intelligence in the Private and Public Sectors (Natascha Windholz et al.) (Z-Library)

【One-Line Pitch】 A practical, multi-author handbook for legal professionals, compliance officers, and business leaders who need to understand and apply the EU AI Act in real-world private and public sector settings, covering everything from risk classification to sector-specific use cases. 【Book Arc】 - **Opening (~0%–9%)**: Establishes the technical foundation by defining AI, its core components (data, algorithms, computing power, storage), and how data science and data analytics differ, before introducing the AI Act's scope and relevance for SMEs. - **Early (~18%–32%)**: Dives into the AI Act's risk-based framework, detailing prohibited practices, the classification and requirements for high-risk AI systems, fundamental rights impact assessments, and the machinery of conformity assessment, CE marking, and registration. - **Early (~23%–27%)**: Explains transparency obligations, the special regime for General-Purpose AI (GPAI) models like ChatGPT (including systemic risk rules), AI sandboxes for testing, and the governance structure (AI Office, AI Board, national authorities) plus penalties. - **Middle (~41%–50%)**: Shifts to adjacent legal domains, covering data protection (including GDPR interactions and the noyb complaint against ChatGPT), intellectual property rights for AI components and training data, and AI-specific IT contract law (licensing, development, open source). - **Middle (~50%–55%)**: Applies the framework to the private sector, exploring bias and discrimination, then walking through sector-specific compliance for finance, insurance, whistleblowing systems, employment (hiring, video analysis), education, and healthcare. 【Key Takeaways】 - **Risk-based classification is the AI Act's core logic** (Early): AI systems are tiered as prohibited, high-risk, limited-risk, or minimal-risk, and your compliance burden scales with the tier; knowing where your system falls is the first and most critical step. - **High-risk AI systems carry the heaviest obligations** (Early): These require conformity assessments, CE marking, registration in an EU database, and ongoing post-market monitoring, with specific requirements for data governance, transparency, and human oversight. - **Fundamental Rights Impact Assessments (FRIA) are a key governance tool** (Early): Beyond technical compliance, the AI Act mandates assessing impacts on fundamental rights, and the handbook positions this as part of broader AI governance rather than a box-ticking exercise. - **General-Purpose AI (GPAI) models have their own special regime** (Early): Triggered by the ChatGPT "revolution," the AI Act imposes distinct transparency and copyright obligations on GPAI models, with extra duties for those deemed to pose systemic risks. - **AI sandboxes offer a controlled path to innovation** (Early): The AI Act provides for regulatory sandboxes where companies, especially SMEs, can test AI systems under supervision, with specific rules on personal data processing and consent for tests outside sandboxes. - **Data protection and IP law are inseparable from AI compliance** (Middle): The handbook connects the AI Act to GDPR (including real complaints like the noyb case against ChatGPT) and to intellectual property questions around training data, model protection, and open source licensing. - **Sector-specific guidance turns abstract rules into practice** (Middle): Dedicated chapters on finance, insurance, employment, education, and healthcare show how the same AI Act provisions apply differently, from credit scoring to hiring video analysis to medical diagnosis. 【Reading Tips】 - **Skim the technical opening (Ch. 1)** if you're already familiar with AI basics; it's a foundation for non-technical readers but not the book's core value. - **Deep-read the risk-based framework (Ch. 3)** — this is the heart of the book. Pay special attention to the high-risk classification criteria, Annex III, and the conformity assessment procedures, as these determine most practical obligations. - **Use the sector chapters (Ch. 7) as a reference**, not a cover-to-cover read. Jump to the industry most relevant to you (finance, healthcare, education, etc.) to see how the AI Act applies in your context. - **Watch for the checklists and reference tables** scattered throughout (e.g., the SME launch checklist, IP and contract law reference tables); these are practical tools worth extracting for your own compliance work. - **Expect a European legal perspective** — the book is authored by Austrian/German practitioners and focuses on EU law, so readers outside Europe should adapt the principles to their local regulatory context. 【Coverage Limits】 The excerpts primarily cover the table of contents and section headings; detailed legal analysis, case studies, and the full text of checklists are not fully captured in this guide. Content on the public sector (beyond the title's mention) and the final chapters (e.g., healthcare details) is only partially visible in the sample.