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4 results for “explainability”
For consumer cash-flow apps, is the trust boundary security or explainability?
A fintech developer poses an open-ended, reflective question about trust architecture in consumer cash-flow apps, identifying three potential failure points but offering no data, product claims, or resolution.
Aug 2, 2026
Logic, Optimization, and Artificial Intelligence
A new arXiv preprint (2607.15532v1) surveys how integrating logic and optimization techniques can enhance transparency, explainability, and trustworthiness in rule-based AI systems.
Jul 20, 2026
Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
A position paper argues that Explainable AI (XAI) research must shift from producing isolated explanation methods to solving foundational problems—like ill-defined objectives, weak evaluation frameworks, and missing human-in-the-loop feedback pipelines—to enable real-world impact.
Jul 18, 2026
TokenScope: Token-Level Explainability and Interpretability for Code-Oriented Tasks in Large Language Models
TokenScope is a new open-source tool for token-level interpretability in code-generation LLMs, enabling real-time inspection of attention, uncertainty, and structural program behavior during decoding.
Published Jul 3, 2026 · Analyzed Jul 6, 2026