Year: 2025
Type: preprint
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.
Source: arXiv (Cornell University)
Authors: Sharma, Pratyush Nidhi, Wright, Lauren, Herfurth, Anne, Sokiyna, Munsif, Sharma, Pratyaksh Nidhi, Das, Sethu, Siponen, Mikko
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7077907509
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