Ethical Questions in NLP Research: The (Mis)-Use of Forensic Linguistics
This work addresses ethical and legal issues in NLP and broader applied sciences, warning against careless practices that exceed scientific and legal boundaries.
The paper examines the problematic adoption of forensic linguistics methods in NLP, highlighting their misuse for questionable purposes without addressing scientific limitations and ethical concerns, which undermines legal processes and ethical standards.
Ideas from forensic linguistics are now being used frequently in Natural Language Processing (NLP), using machine learning techniques. While the role of forensic linguistics was more benign earlier, it is now being used for purposes which are questionable. Certain methods from forensic linguistics are employed, without considering their scientific limitations and ethical concerns. While we take the specific case of forensic linguistics as an example of such trends in NLP and machine learning, the issue is a larger one and present in many other scientific and data-driven domains. We suggest that such trends indicate that some of the applied sciences are exceeding their legal and scientific briefs. We highlight how carelessly implemented practices are serving to short-circuit the due processes of law as well breach ethical codes.