TY - GEN
T1 - Algorithmic Fairness in Clinical Natural Language Processing
T2 - 3rd European Workshop on Algorithmic Fairness, EWAF 2024
AU - Anadria, Daniel
AU - Giachanou, Anastasia
AU - Kernahan, Jacqueline
AU - Dobbe, Roel
AU - Oberski, Daniel
N1 - Publisher Copyright:
© 2024 Copyright for this paper by its authors.
PY - 2025/2/15
Y1 - 2025/2/15
N2 - The surge in research and development of clinical natural language processing (NLP) has prompted inquiries into the algorithmic fairness of the proposed and deployed technical solutions. In spite of the proliferation of research, limited work has synthesized reflected on the state of algorithmic fairness in clinical NLP. In this short paper, we summarize the findings of our scoping review of literature and present challenges and opportunities in the domain. We identify challenges and opportunities related to studying and measuring protected groups, selecting appropriate methodology, data sharing and privacy, as well as generalizability. The goal of this article is to start a discussion and raise awareness about the gaps encountered within algorithmic fairness in clinical NLP and pave the way for future research.
AB - The surge in research and development of clinical natural language processing (NLP) has prompted inquiries into the algorithmic fairness of the proposed and deployed technical solutions. In spite of the proliferation of research, limited work has synthesized reflected on the state of algorithmic fairness in clinical NLP. In this short paper, we summarize the findings of our scoping review of literature and present challenges and opportunities in the domain. We identify challenges and opportunities related to studying and measuring protected groups, selecting appropriate methodology, data sharing and privacy, as well as generalizability. The goal of this article is to start a discussion and raise awareness about the gaps encountered within algorithmic fairness in clinical NLP and pave the way for future research.
KW - algorithmic fairness
KW - clinical natural language processing
KW - NLP in healthcare
KW - research gaps
UR - http://www.scopus.com/inward/record.url?scp=85219514173&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85219514173
T3 - CEUR Workshop Proceedings
BT - Proceedings of the 3rd European Workshop on Algorithmic Fairness
PB - CEUR-WS
Y2 - 1 July 2024 through 3 July 2024
ER -