IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, cilt.13, ss.1-13, 2026 (SCI-Expanded, Scopus)
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.