Computational linguistics can address ethical concerns in NLP models, such as bias and fairness, by developing techniques for identifying and mitigating biases in language ...
Computational linguistics can address ethical concerns in NLP models, such as bias and fairness, by developing techniques for identifying and mitigating biases in language data, creating more representative and balanced datasets, and implementing fairness-aware algorithms. It also involves setting ethical guidelines for data collection and usage, enhancing transparency and interpretability of models, and fostering ongoing research into the social impact of NLP systems to ensure they serve diverse and equitable societal needs.