mlsanityData to 14 Oct 2026

DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code

arXiv 2508.16853 ↗First posted 23 Aug 2025cs.SE cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 9 references that are in the map. First posted on arXiv 23 Aug 2025.

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References · 3

  1. 2023Identifying and Mitigating Privacy Risks Stemming from Language Models: A Surveycited by 30
  2. 2023Traces of Memorisation in Large Language Models for Codecited by 29
  3. 2024An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasetscited by 9

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