Neurosymbolic AI for Safe and Trustworthy High-Stakes Applications

Abstract excerpt

Artificial intelligence is increasingly deployed in high-stakes domains such as healthcare, public welfare, and autonomous transportation, where errors can cost lives or infringe on human rights. However, current AI approaches dominated by neural networks and generative models (e.g., large language models) have well-documented shortcomings: they can hallucinate false information, exhibit bias, and lack explainabil...

Topics

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• Artificial Intelligence
• Decision Support Systems, Clinical
• Diagnosis, Differential
• Electronic Health Records
• Genetic Variation
• Genetics, Medical
• Phenotype
• Rare Diseases

Identifiers and source

Literature Corpus work

a219fe95-3b8c-50fa-8449-efe87916e491

DOI

10.20944/preprints202511.1342.v1