A claimed mathematical proof establishes a quadrilemma showing that complex environments, high AI performance, interpretable explanations, and complete faithfulness cannot coexist.
arXiv preprint arXiv:2310.05797 (2023)
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Zero-shot NLP models do not outperform baselines for short-term stock prediction from news, but multi-layered explainability reliably separates trustworthy from unreliable outputs.
citing papers explorer
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Fundamental Limitation in Explaining AI
A claimed mathematical proof establishes a quadrilemma showing that complex environments, high AI performance, interpretable explanations, and complete faithfulness cannot coexist.
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Can News Predict the Market? Limits of Zero-Shot Financial NLP and the Role of Explainable AI
Zero-shot NLP models do not outperform baselines for short-term stock prediction from news, but multi-layered explainability reliably separates trustworthy from unreliable outputs.