AI Act compact
ISBN:
978-3-8005-1960-6
Auflage:
1. Aufl. 2025
Verlag:
Fachmedien Recht und Wirtschaft in Deutscher Fachverlag GmbH
Land des Verlags:
Deutschland
Erscheinungsdatum:
25.11.2024
Reihe:
InTeR-Schriftenreihe
Format:
Softcover
Seitenanzahl:
316
Lieferung in 3-4 Werktagen
Versandkostenfrei ab 40 Euro in Österreich
The EU AI Act is here, and contrary to popular opinion, it is not just Europe’s problem. As the first comprehensive law to regulate AI systems, the AI Act attempts to establish a global framework, setting limits on dynamic technological developments and creating new legal responsibilities for organisations worldwide.
The AI Act’s definition of AI systems is expansive, covering a wide range of technologies, even those that, until recently, were considered traditional machine learning models. This makes understanding and preparing for compliance even more critical, because if your business involves AI, the AI Act is now your business.
“AI Act Compact” is your go-to tool for tackling the challenges imposed by the Act. Written by Tea Mustac and Peter Hense, experienced legal experts and hosts of the podcast “RegInt: Decoding AI Regulation,” this book provides a deep dive into the AI Act’s key provisions, processes, and real-world implications.
The AI Act introduces a new risk-based framework, establishing compliance assessments and relying on harmonized standards. It imposes obligations for data governance, data quality management, accuracy and robustness, risk management, explainability, non-discrimination, accountability, liability, human controllability and more. Implementing these requirements presents significant practical challenges, especially given their broad application to numerous actors along the AI supply chain.
Drawing heavily on international technical standards from CEN/CENELEC, ISO, IEC, and IEEE, the authors provide a practical toolkit for managing AI risks and ensuring compliance. Whether you’re a lawyer, data scientist, or machine learning engineer, this book offers clear, actionable strategies for staying compliant and competitive in this fast-evolving landscape.
Schlagwörter
Recht
Datenschutz
DSGVO
Nachschlagewerk
accountability
Diskriminierungsverbot
Unternehmenspraxis
Recht und Wirtschaft
Buch Recht
Fachmedien Recht und Wirtschaft
Fachbücher Recht
Bücher für Juristen
Fachliteratur Recht
juristische Literatur
juristischer Fachverlag
juristische Bücher
Jura Bücher
Fachbuch Verlag
Deutsche Gesetze Buch
Nachschlagewerk Recht
Deutscher Fachverlag GmbH
Fachbuch Recht
Verlag Recht und Wirtschaft Frankfurt
Gesetze Buch
Gesetze Bücher
Gesetzbuch bestellen
KI-Verordnung
Gesetze kaufen
Data Governance
DMA
Datenqualität
Compliance Management
AI regulation
Rechenschaftspflicht
data quality
DGA
EU AI Act
DA
Rechtshandbuch
Verlag Recht
Trainingsdaten
Risikoklassen
Konformitätsprüfung
Buch Recht und Wirtschaft
Use Cases
Compliance Literatur
Peter Hense
Tea Mustac
CDSMD
compliance testing
risk classes
training data
Biografische Anmerkung
Peter Hense, lawyer and partner at Spirit Legal, specializes in the fields of technology, data, research and development and privacy engineering. For over a decade, he has been working with leading R and D-companies on machine learning, in particular artificial neural networks and knowledge graphs. His focus is on compliance and data governance in the context of automated decision-making systems (Accountable AI). Translated with DeepL.com (free version)
Tea Mustac, Mag. iur. is an expert in European and international technology and IP law at Spirit Legal. She advises and publishes at the interface of law and technology, with a particular focus on artificial intelligence. Together with Peter Hense, she hosts the English-language podcast "RegInt: Decoding AI Regulation”.
