Beyond the Black Box: programmable AI and explainable text analysis for trustworthy social intelligence

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.

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Publication Details

Journal
Greenwich Academic Literature Archive (University of Greenwich)
Published
2026-04-13
Primary Topic
Computational and Text Analysis Methods
Type
article
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article

Beyond the Black Box: programmable AI and explainable text analysis for trustworthy social intelligence

Michael A. Cowan, Yusuf Mücahit Çetinkaya, Martha Newson, Natko Vlahović et al.
Greenwich Academic Literature Archive (University of Greenwich)
Computational and Text Analysis Methods
article

Beyond the Black Box: programmable AI and explainable text analysis for trustworthy social intelligence

Michael A. Cowan, Yusuf Mücahit Çetinkaya, Martha Newson, Natko Vlahović, Anshul Trivdedi, Hasan Davuclu
article en

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.

Greenwich Academic Literature Archive (University of Greenwich)
Openalex Percentile: Top 2%
Computational and Text Analysis Methods
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Beyond the Black Box: programmable AI and explainable text analysis for trustworthy social intelligence — Michael A. Cowan, Yusuf Mücahit Çetinkaya, et al. · Greenwich Academic Literature Archive (University of Greenwich) (2026) | TGRS Research Map | TGRS