Synopsis
"If it's written in Python, it's probably machine learning. If it's written in PowerPoint, it's definitely AI". The AI Act presents legal practice with significant challenges as it presupposes interdisciplinary knowledge around technology, standardization, organizational management, and social sciences. Scientifically influenced users are confronted with a variety of indeterminate legal terms and fundamental law postulates, which makes the law a "book with seven seals" for them. The AI Act is a globally unique early work for comprehensive regulation of automated decision-making systems, which is intended to set limits on dynamic technical developments around AI and establish new legal responsibilities. The division of AI systems into different risk categories, new compliance assessments and audit standards, as well as commitments to data governance, risk management, explainability, control and non-discrimination, accountability, and new liability regulations expand the challenges for providers and users of AI systems. The present work acts as a legal manual for corporate practice, combining legal, technical and organizational knowledge. The authors represent interfaces and points of friction with other European legal acts such as CDSMD, DSGVO, DGA, DA, DMA etc., incorporate comparative perspectives and offer a basis for in-depth studies with an extensive, well-sorted literature apparatus.
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