Applied Sociolinguistic AI for Community Development (ASA-CD): A New Scientific Paradigm for Linguistically-Grounded Community Problem Solving

This paper introduces Applied Sociolinguistic AI for Community Development (ASA-CD) as a new scientific paradigm that addresses community challenges, such as fragmentation and civic disengagement, through linguistically grounded, AI-enabled intervention. ASACD integrates linguistic biomarkers, development-aligned NLP and discursive intervention into a unified framework. We present three core contributions: (1) biomarkers as computational indicators of discourse health, (2) a multi-objective NLP paradigm optimising for social impact and (3) a five-phase intervention protocol. A simulation-based study using 18,000 annotated comments and synthetic dialogues demonstrates systematic links between exclusionary language and negative sentiment, alongside measurable improvements in inclusive discourse. ASACD offers a scalable, replicable and ethical methodology for aligning AI with community development goals.