NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment
It addresses the need for responsible deployment of NLP technologies to benefit society, but it is a survey paper, so it is incremental in synthesizing existing knowledge.
This paper examines the role of Natural Language Processing (NLP) in addressing societal challenges, highlighting research directions and outlining challenges for responsible and equitable progress in NLP for Social Good.
Recent advancements in large language models (LLMs) have unlocked unprecedented possibilities across a range of applications. However, as a community, we believe that the field of Natural Language Processing (NLP) has a growing need to approach deployment with greater intentionality and responsibility. In alignment with the broader vision of AI for Social Good (Tomašev et al., 2020), this paper examines the role of NLP in addressing pressing societal challenges. Through a cross-disciplinary analysis of social goals and emerging risks, we highlight promising research directions and outline challenges that must be addressed to ensure responsible and equitable progress in NLP4SG research.