To LLM, or Not to LLM: How Designers and Developers Navigate LLMs as Tools or Teammates
arXiv cs.AI / 4/20/2026
💬 OpinionIdeas & Deep AnalysisModels & Research
Key Points
- The study, based on interviews with 33 designers and developers at three large tech organizations, finds that decisions to use LLMs in workflows are not purely technical but depend on how practitioners frame the model’s role.
- When LLMs are treated as tools under clear human control, participants generally view their use as acceptable and compatible with existing governance and oversight structures.
- When LLMs are framed as teammates with shared or ambiguous agency, participants report hesitation—especially when it is unclear who is accountable for outcomes.
- The authors propose an analytic rubric showing how “tool” versus “teammate” framing affects decision authority, accountability ownership, oversight strategies, and overall organizational acceptability, positioning the issue as a sociotechnical design-time concern.
- Rather than focusing only on model capability after deployment, the paper argues for evaluating and designing around role framing during system design to support responsible adoption.
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