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1 Ergebnisse
1
NLP for Maternal Healthcare: Perspectives and Guiding Princ..:
, In:
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency
,
Antoniak, Maria
;
Naik, Aakanksha
;
Alvarado, Carla S.
.. - p. 1446-1463 , 2024
Link:
https://dl.acm.org/doi/10.1145/3630106.3658982
RT T1 <cTitle>Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3658982&Exemplar=1&LAN=DE A1 Antoniak, Maria A1 Naik, Aakanksha A1 Alvarado, Carla S. A1 Wang, Lucy Lu A1 Chen, Irene Y. PB ACM YR 2024 K1 ethical guidelines K1 large language models K1 maternal health K1 natural language processing K1 Applied computing K1 Life and medical sciences K1 Health informatics K1 Social and professional topics K1 Computing/technology policy K1 Medical information policy K1 Medical technologies K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing SP 1446 OP 1463 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3630106.3658982 DO https://dl.acm.org/doi/10.1145/3630106.3658982 SF ELIB - SuUB Bremen
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