Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements
Antonia Karamolegkou, Sandrine Schiller Hansen, Ariadni Christopoulou, Filippos Stamatiou, Anne Lauscher, Anders Søgaard
Abstract
What ethical concerns, if any, do LLM researchers have? We introduce EthiCon, a corpus of 1,580 ethical concern statements extracted from scientific papers published in the ACL Anthology. We extract ethical concern keywords from the statements and show promising results in automating the concern identification process. Through a survey (N=200), we compare the ethical concerns of the corpus to the concerns listed by the general public and professionals in the field. Finally, we compare our retrieved ethical concerns with existing taxonomies and guidelines pointing to gaps and actionable insights.- Anthology ID:
- 2025.naacl-long.580
- Volume:
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Month:
- April
- Year:
- 2025
- Address:
- Albuquerque, New Mexico
- Editors:
- Luis Chiruzzo, Alan Ritter, Lu Wang
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 11618–11635
- Language:
- URL:
- https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.naacl-long.580/
- DOI:
- Cite (ACL):
- Antonia Karamolegkou, Sandrine Schiller Hansen, Ariadni Christopoulou, Filippos Stamatiou, Anne Lauscher, and Anders Søgaard. 2025. Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 11618–11635, Albuquerque, New Mexico. Association for Computational Linguistics.
- Cite (Informal):
- Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements (Karamolegkou et al., NAACL 2025)
- PDF:
- https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.naacl-long.580.pdf