AI Hallucinations: The Hidden Risk — and the Logic That Can Stop Them | Automated Reasoning скачать в хорошем качестве

AI Hallucinations: The Hidden Risk — and the Logic That Can Stop Them | Automated Reasoning

Generative AI can sound confident — even when it’s wrong. From hallucinated citations to policy violations, these errors have become a serious barrier for businesses trying to adopt AI safely. This video explores a viable approach: Automated Reasoning (AR) — a logic-based method that verifies whether an AI’s output actually follows company rules, policies, or regulations. Unlike probabilistic models, it doesn’t “guess” what’s right — it proves it. Discover how this technique can help enterprises move from useful to trustworthy AI, reducing compliance risks and audit costs across HR, finance, and healthcare applications. What if your AI system could explain why its answer is valid — and prove it mathematically? Watch to find out. Keywords: AI hallucination、LLM errors、automated reasoning、AI compliance、AI reliability、enterprise AI、logic-based AI、AI governance、AI validation、AI auditing、trustworthy AI、AI policy checking、AI hallucination prevention、AI reasoning systems Source: Akinfaderin, A., & Diallo, N. (2025, April 1). Minimize generative AI hallucinations with Amazon Bedrock automated reasoning checks. AWS Blog.