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NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment

MCML Authors

Link to Profile Alexander Fraser

Alexander Fraser

Prof. Dr.

Core PI

Data Analytics & Statistics

Abstract

Recent advancements in large language models (LLMs) have unlocked unprecedented possibilities across a range of applications. However, as a community, we believe that the field of Natural Language Processing (NLP) has a growing need to approach deployment with greater intentionality and responsibility. In alignment with the broader vision of AI for Social Good (Tomašev et al., 2020), this paper examines the role of NLP in addressing pressing societal challenges. Through a cross-disciplinary analysis of social goals and emerging risks, we highlight promising research directions and outline challenges that must be addressed to ensure responsible and equitable progress in NLP4SG research.

inproceedings KBC+26

EACL 2026

19th Conference of the European Chapter of the Association for Computational Linguistics. Rabat, Morocco, Mar 24-29, 2026.
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A Conference

Authors

A. Karamolegkou • A. Borah • E. Cho • S. R. Choudhury • M. Galletti • P. Gupta • O. Ignat • P. Kargupta • N. Kotonya • H. Lamba • S.-J. Lee • A. Mangla • I. Mondal • F. Z. Moudakir • D. Nazar • P. Nemkova • D. Pisarevskaya • N. Rizwan • N. Sabri • K. Samway • D. Stammbach • A. Steinberg Schulten • D. Tomás • S. R. Wilson • B. Yi • J. H. Zhu • A. Zubiaga • A. Søgaard • A. Fraser • Z. Jin • R. Mihalcea • J. R. Tetreault • D. Dementieva

Links

DOI

In Collaboration

 Dataminr
 Lowe's
 Sony

Research Area

 B2 | Natural Language Processing

BibTeXKey: KBC+26

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