Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements
This work addresses the need for systematic ethical analysis in NLP research, though it is incremental as it builds on existing taxonomies and methods.
The researchers tackled the problem of identifying ethical concerns in NLP by creating EthiCon, a corpus of 1,580 ethical statements from ACL Anthology papers, and showed promising results in automating concern identification.
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, 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 pointing to gaps and future research directions.