Community Need
Community need, encompassing the identification and fulfillment of societal requirements, is a burgeoning research area focusing on efficient data analysis and resource allocation. Current research emphasizes leveraging machine learning, particularly deep learning models like transformers and neural networks, along with advanced techniques such as ensemble learning and meta-learning, to analyze diverse data sources (e.g., social media, healthcare records) and predict needs more accurately. This work holds significant implications for improving the effectiveness of social programs, optimizing resource distribution, and enhancing the transparency and fairness of AI-driven decision-making in various sectors.
Papers
The Need for Interpretable Features: Motivation and Taxonomy
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions
Maëlic Neau, Paulo Santos, Anne-Gwenn Bosser, Nathan Beu, Cédric Buche