Legal Aspects for Software Developers Interested in Generative AI Applications
Steffen Herbold, Brian Valerius, Anamaria Mojica-Hanke, Isabella Lex,, Joel Mittel

TL;DR
This paper discusses legal risks like data protection and copyright that software developers face when integrating Generative AI into products, emphasizing the importance of understanding these issues to mitigate liability.
Contribution
It provides a comprehensive overview of legal considerations related to data and copyright issues in GenAI, highlighting critical knowledge for developers to avoid liability.
Findings
Identifies key legal risks in GenAI development.
Summarizes current legal knowledge on data and copyright.
Provides guidance for developers to mitigate legal liabilities.
Abstract
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.
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Taxonomy
TopicsLaw, AI, and Intellectual Property · Ethics and Social Impacts of AI · Digital Transformation in Law
MethodsAttentive Walk-Aggregating Graph Neural Network
