Open access
Datum
2021-08Typ
- Conference Paper
ETH Bibliographie
yes
Altmetrics
Abstract
Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with many real-world applications. Noting the rising number of applications of other machine learning and AI techniques with pervasive societal impact, we anticipate the rising importance of developing NLP technologies for social good. Inspired by theories in moral philosophy and global priorities research, we aim to promote a guideline for social good in the context of NLP. We lay the foundations via the moral philosophy definition of social good, propose a framework to evaluate the direct and indirect real-world impact of NLP tasks, and adopt the methodology of global priorities research to identify priority causes for NLP research. Finally, we use our theoretical framework to provide some practical guidelines for future NLP research for social good. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000527311Publikationsstatus
publishedExterne Links
Buchtitel
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021Seiten / Artikelnummer
Verlag
Association for Computational LinguisticsKonferenz
Organisationseinheit
09684 - Sachan, Mrinmaya / Sachan, Mrinmaya
ETH Bibliographie
yes
Altmetrics