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Field of Study:

Responsible & Trustworthy NLP

Responsible & Trustworthy NLP is a subfield of Natural Language Processing (NLP) that is concerned with implementing methods that focus on fairness, transparency, trustworthiness, explainability, accountability, and ethical aspects at its core. It involves considering the societal impact of NLP applications and ensuring that they do not perpetuate or amplify biases or discrimination. Additionally, responsible NLP also involves developing methods to ensure the privacy and security of user data, and to mitigate the risks of unintended consequences or misuse of NLP systems.

Papers published in this field over the years:

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Publications for Responsible & Trustworthy NLP

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Researchers for Responsible & Trustworthy NLP

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