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AI-assisted programming raises new questions on code ownership and responsibility

By PulseAugur Editorial · [1 sources] ·

This research note explores the complex issues of code ownership, production, and responsibility in the context of AI-assisted programming. It uses a hypothetical scenario and literature review to argue that identifying the code's producer does not automatically determine the duties of those involved in its review, release, or operation. The paper also discusses how quality engineering can assess both AI-generated code and the processes that create it, suggesting that acceptance criteria should align with desired service outcomes. AI

IMPACT Explores the evolving landscape of intellectual property and accountability in software development as AI tools become more integrated.

RANK_REASON The item is a research note published on arXiv discussing AI-assisted programming. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI-assisted programming raises new questions on code ownership and responsibility

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The item is a research note published on arXiv discussing AI-assisted programming. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Augusto Camargo ·

    It Is Not My Code Anymore

    arXiv:2609.09022v1 Announce Type: cross Abstract: AI-assisted programming raises distinct questions about who produces code, who feels ownership of it, and who is responsible when it fails. This research note examines these distinctions through a hypothetical enrollment failure a…

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