DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code
DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code
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.
Pratyush Nidhi Sharma、Lauren Wright、Anne Herfurth、Munsif Sokiyna、Pratyaksh Nidhi Sharma、Sethu Das、Mikko Siponen
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Pratyush Nidhi Sharma,Lauren Wright,Anne Herfurth,Munsif Sokiyna,Pratyaksh Nidhi Sharma,Sethu Das,Mikko Siponen.DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code[EB/OL].(2025-08-23)[2025-09-05].https://arxiv.org/abs/2508.16853.点此复制
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