Beyond the Black Box: Programmable AI and Explainable Text Analysis for Trustworthy Social Intelligence
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, vol.13, pp.1-13, 2026 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 13
- Publication Date: 2026
- Doi Number: 10.1109/tcss.2026.3686080
- Journal Name: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
- Journal Indexes: Scopus, Science Citation Index Expanded (SCI-EXPANDED), Compendex, INSPEC
- Page Numbers: pp.1-13
- Middle East Technical University Affiliated: No
Abstract
Life demands safe, reliable, and explainable AI grounded in scientific reasoning and guided by human oversight. We present a neuro-symbolic Programmable AI algorithm that transforms neural outputs into interpretable logic-patterned narratives via symbolic pattern lifting and lowering. It is designed for social scientists and enables reproducible Human + AI text analysis across sources like social media, interviews, and news. It is demonstrated on 1.3 million tweets about global energy trends, and the system ensures AI that not only says what it does but does what it says, replacing black-box opacity with transparent, accountable reasoning.