"It Might be Technically Impressive, But It's Practically Useless to Us": Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry
<|reference_start|>"It Might be Technically Impressive, But It's Practically Useless to Us": Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry: Recently, an increasing number of news organizations have integrated artificial intelligence (AI) into their workflows, leading to a further influx of AI technologists and data workers into the news industry. This has initiated cross-functional collaborations between these professionals and journalists. While prior research has explored the impact of AI-related roles entering the news industry, there is a lack of studies on how cross-functional collaboration unfolds between AI professionals and journalists. Through interviews with 17 journalists, 6 AI technologists, and 3 AI workers with cross-functional experience from leading news organizations, we investigate the current practices, challenges, and opportunities for cross-functional collaboration around AI in today's news industry. We first study how journalists and AI professionals perceive existing cross-collaboration strategies. We further explore the challenges of cross-functional collaboration and provide recommendations for enhancing future cross-functional collaboration around AI in the news industry.<|reference_end|>
@article{xiao2024"it,
    title={"It Might be Technically Impressive, But It's Practically Useless to
  Us": Practices, Challenges, and Opportunities for Cross-Functional
  Collaboration around AI within the News Industry},
    author={Qing Xiao, Xianzhe Fan, Felix M. Simon, Bingbing Zhang, Motahhare
  Eslami},
    journal={arXiv preprint arXiv:2409.12000},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.12000},
    primaryClass={cs.HC cs.CY cs.LG cs.SI}
}