2024/04/25 by Steffen Herbold, Brian Valerius, Herbold, Steffen +7 · 1 citation
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Digital Transformation in Law #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Machine Learning (cs.LG) #Software Engineering (cs.SE)
paper · pdf · doi:10.48550/arxiv.2404.16630
openalex publication_date 2024/04/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recent successes in Generative Artificial Intelligence (GenAI) have led to new technologies capable of generating high-quality code, natural language, and images. The next step is to integrate GenAI technology into products, a task typically conducted by software developers. Such product development always comes with a certain risk of liability. Within this article, we want to shed light on the current state of two such risks: data protection and copyright. Both aspects are crucial for GenAI. This technology deals with data for both model training and generated output. We summarize key aspects regarding our current knowledge that every software developer involved in product development using GenAI should be aware of to avoid critical mistakes that may expose them to liability claims.