healthcare.digital October 22, 2024
Exec Summary:
The trust gap in healthcare AI is a significant challenge that stems from concerns about its accuracy, transparency, and potential biases. Despite the promise of AI to revolutionise healthcare, there are several factors contributing to this skepticism:
1. Lack of Transparency and Explainability:
Black Box Problem: Many AI algorithms are complex and opaque, making it difficult to understand how they arrive at their decisions. This can lead to mistrust, as patients and healthcare providers may not fully comprehend the reasoning behind AI-driven recommendations.
Bias and Fairness: AI models can inherit biases present in the data they are trained on. This can lead to discriminatory outcomes, particularly for marginalised populations.
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