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Related Questions
- What are the key factors that contribute to the lack of transparency in LLMs in healthcare applications and how can they be addressed?
- Can you explain the concept of explainable AI and its importance in high-stakes domains like healthcare?
- What are some effective methods for providing transparent and interpretable results in LLMs, particularly in clinical decision-making?
- How can domain experts and healthcare professionals collaborate with LLM developers to improve the transparency and accountability of AI-driven healthcare solutions?
- What are some potential consequences of using opaque LLMs in healthcare, and how can they be mitigated?
- Can you discuss the role of human oversight and auditing in ensuring the transparency and trustworthiness of LLMs in healthcare applications?
- What are some strategies for developing LLMs that can provide actionable and transparent explanations for their predictions and decisions in healthcare settings?
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