What are the ethical challenges of using AI in healthcare?

The use of AI in healthcare presents several ethical challenges. One major concern is data privacy and security, as AI systems require large volumes of sensitive patient information, raising risks of misuse or breaches. Bias and fairness issues arise when AI models trained on unrepresentative data lead to unequal treatment outcomes. The lack of transparency in AI decision-making can reduce trust among healthcare professionals and patients. Furthermore, obtaining informed consent becomes complex

AI in healthcare raises ethical challenges like patient privacy, data security, bias in algorithms, and accountability for decisions.

The ethical challenges of using AI in healthcare include ensuring patient data privacy, preventing bias in algorithms that could lead to unequal treatment, and maintaining transparency in decision-making. There’s also the risk of over-reliance on AI over human judgment, potential accountability issues when errors occur, and concerns about consent when using sensitive medical data. Balancing innovation with trust and fairness is key.