Navigating the minefield of AI in healthcare: Balancing innovation with accuracy

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Recent advancements in generative artificial intelligence (AI) have revolutionized technology and society. Large language models (LLMs) like ChatGPT are becoming valuable resources for information, especially in healthcare. However, ethical and safety concerns need to be addressed as AI errors, health disinformation, and privacy issues are prevalent. AI errors arise when inaccurate information is generated, posing risks to individuals’ health. Health disinformation can be intentionally generated, requiring strategies to prevent harmful responses. Privacy and bias are additional concerns, with efforts needed to ensure user data protection and minimize biases in AI models. Overall, measures are being developed to mitigate these risks associated with generative AI technologies.

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