Emerging Data Practices: Data Work in the Era of Large Language Models-Reference-Cited by-同舟云学术

Emerging Data Practices: Data Work in the Era of Large Language Models

Published:2025-04-25 Issue: Volume: Page:1-21
ISSN:
Container-title:Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
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Author:

Alvarado Garcia Adriana¹^ORCID,Candello Heloisa²^ORCID,Badillo-Urquiola Karla³^ORCID,Wong-Villacres Marisol⁴^ORCID

Affiliation:

1. Responsible Tech Research, IBM Research, Yorktown Heights, New York, USA

2. IBM Research, Sao Paulo, Brazil

3. Department of Computer Science and Engineering, University of Notre Dame, South Bend, Indiana, USA

4. Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3706598.3714069

Reference156 articles.

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3. Abubakar Abid Maheen Farooqi and James Zou. 2021. Large language models associate Muslims with violence. Nature Machine Intelligence 3 6 (2021) 461–463.

4. Rene Abraham Johannes Schneider and Jan Vom Brocke. 2019. Data governance: A conceptual framework structured review and research agenda. International journal of information management 49 (2019) 424–438.

5. Jumana Almahmoud Robert DeLine and Steven M. Drucker. 2021. How Teams Communicate about the Quality of ML Models: A Case Study at an International Technology Company. Proc. ACM Hum.-Comput. Interact. 5 GROUP Article 222 (July 2021) 24 pages. 10.1145/3463934