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

Home | Publications | KBC+26

MCML Authors

Alexander Fraser

Prof. Dr.

Principal Investigator

Data Analytics & Statistics

Daryna Dementieva

Dr.

→ Group Alexander Fraser
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.

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