Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Coding

2024-11-16

arXiv.org

AI Summary

This study investigates developers’ awareness of copyright and licensing issues associated with generative AI–assisted coding. Method: A mixed-methods approach was employed—quantitative analysis of a large-scale survey (N=574 GitHub developers) and qualitative insights from semi-structured interviews—integrated with thematic coding and statistical analysis. Contribution/Results: It represents the first interdisciplinary integration of software engineering and legal perspectives on this topic, revealing significant conceptual divergences and three prevalent misconceptions among developers regarding ownership, copyrightability, and licensing risks of AI-generated code. Although over 60% express concern about copyright implications, their legal understanding remains fragmented and inconsistent. The findings provide empirical grounding for evolving open-source licensing frameworks, enhancing developers’ legal literacy, and informing evidence-based AI governance and regulatory policy.

Technology Category

• Natural Language Processing: Code Generation / Program Synthesis from Natural Language
• Philosophy and Ethics of AI: Artificial General Intelligence
• Humans and AI: Game Design — Procedural Content Generation & Storytelling

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Responsible Web: Algorithmic accountability and transparency on the web

Abstract

Generative AI (GenAI) tools have already started to transform software development practices. Despite their utility in tasks such as writing code, the use of these tools raises important legal questions and potential risks, particularly those associated with copyright law. In the midst of this uncertainty, this paper presents a study jointly conducted by software engineering and legal researchers that surveyed 574 GitHub developers who use GenAI tools for development activities. The survey and follow-up interviews probed the developers' opinions on emerging legal issues as well as their perception of copyrightability, ownership of generated code, and related considerations. We also investigate potential developer misconceptions, the impact of GenAI on developers' work, and developers' awareness of licensing/copyright risks. Qualitative and quantitative analysis showed that developers' opinions on copyright issues vary broadly and that many developers are aware of the nuances these legal questions involve. We provide: (1) a survey of 574 developers on the licensing and copyright aspects of GenAI for coding, (2) a snapshot of practitioners' views at a time when GenAI and perceptions of it are rapidly evolving, and (3) an analysis of developers' views, yielding insights and recommendations that can inform future regulatory decisions in this evolving field.

Problem

• Generative AI
• Legal Issues
• Copyright

Innovation

• Generative AI
• Copyright Perception
• Legal Implications