TrustNLP 2026 — 6th Workshop on Trustworthy Natural Language Processing (at ACL 2026) (TrustNLP)

TrustNLP is the annual ACL-family workshop on building explainable, fair, privacy-preserving and robust NLP systems. It invites original contributions on explainability, fairness and bias, privacy-preserving NLP, machine unlearning, model editing, adversarial robustness, red-teaming, culturally aware LLMs. Submissions may take the form of full research papers, extended abstracts and poster presentations reporting theoretical, computational and experimental work, as well as industrial case studies and applications. The meeting brings together researchers, engineers, industry practitioners and students to exchange recent results and discuss emerging directions in the field. Accepted papers are published in the conference proceedings (Association for Computational Linguistics).