DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code
August 23, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Pratyush Nidhi Sharma, Lauren Wright, Anne Herfurth, Munsif Sokiyna, Pratyaksh Nidhi Sharma, Sethu Das, Mikko Siponen
arXiv ID
2508.16853
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Generative AI coding assistants (ACAs) are widely adopted yet pose serious legal and compliance risks. ACAs can generate code governed by restrictive open-source licenses (e.g., GPL), potentially exposing companies to litigation or forced open-sourcing. Few developers are trained in these risks, and legal standards vary globally, especially with outsourcing. Our article introduces DevLicOps, a practical framework that helps IT leaders manage ACA-related licensing risks through governance, incident response, and informed tradeoffs. As ACA adoption grows and legal frameworks evolve, proactive license compliance is essential for responsible, risk-aware software development in the AI era.
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