A Short Review of Ethical Challenges in Clinical Natural Language Processing

Simon Šuster, Stéphan Tulkens, Walter Daelemans

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Abstract
Clinical NLP has an immense potential in contributing to how clinical practice will be revolutionized by the advent of large scale processing of clinical records. However, this potential has remained largely untapped due to slow progress primarily caused by strict data access policies for researchers. In this paper, we discuss the concern for privacy and the measures it entails. We also suggest sources of less sensitive data. Finally, we draw attention to biases that can compromise the validity of empirical research and lead to socially harmful applications.
Anthology ID:
W17-1610
Volume:
Proceedings of the First ACL Workshop on Ethics in Natural Language Processing
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
Dirk Hovy, Shannon Spruit, Margaret Mitchell, Emily M. Bender, Michael Strube, Hanna Wallach
Venue:
EthNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
80–87
Language:
URL:
https://aclanthology.org/W17-1610
DOI:
10.18653/v1/W17-1610
Bibkey:
Cite (ACL):
Simon Šuster, Stéphan Tulkens, and Walter Daelemans. 2017. A Short Review of Ethical Challenges in Clinical Natural Language Processing. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, pages 80–87, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
A Short Review of Ethical Challenges in Clinical Natural Language Processing (Šuster et al., EthNLP 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/W17-1610.pdf
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