Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details

arXiv:2609.15722 · cs.AI, cs.CL, cs.HC, cs.LG · Submitted 2026-09-14 · Read on arXiv

cs.AI, cs.CL, cs.HC, cs.LG

Submitted: 2026-09-14

Updated: 2026-09-14

Code: https://github.com/google/differentialprivacy

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Interpretability — 21× in this paper · explained in 15 episodes
• Emotional Resonance — 10× in this paper · explained in 2 episodes
• Design Science Research — 8× in this paper
• Explainability — 6× in this paper · explained in 3 episodes
• Differential Privacy — 5× in this paper · explained in 4 episodes
• Core — 4× in this paper · explained in 2 episodes
• Decode — 4× in this paper · explained in 2 episodes
• Hybrid Approach — 4× in this paper · explained in 4 episodes
• Federated Learning — 2× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Shapley values — 2× in this paper · explained in 2 episodes
• Thinking mode — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Initial Data — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multiple Interpretable Machine Learning — 1× in this paper
• Ontology — 1× in this paper · explained in 2 episodes

Sources

• LLMs for Explainable AI: A Comprehensive Survey
• AI Readiness in Healthcare through Storytelling XAI
• Metrics for Explainable AI: Challenges and Prospects
• LiveBench: A Challenging, Contamination-Limited LLM Benchmark

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