The NLP: Ethics — Bias, Fairness, Transparency & Privacy group examines the ethical and societal implications of Natural Language Processing technologies, focusing on how algorithmic decisions affect individuals and communities. It investigates methods to detect and reduce bias, enhance transparency, and protect user privacy in NLP systems. Key areas include fairness-aware training for large language models, interpretable content moderation, and privacy-preserving techniques in conversational AI.