AI explainability is crucial in achieving trustworthy AI in industries like healthcare. This concept allows humans to understand how AI arrives at decisions, making the process transparent and fostering trust. In healthcare, explainable AI can help providers validate AI models, identify biases, and ensure accurate diagnoses and treatment plans. Without explainability, reliance on AI may lead to errors and pose risks to patient safety. By integrating explainable AI into healthcare, providers can work with AI tools effectively to enhance patient care while ensuring transparency and accountability in decision-making processes.
Source link
Unlocking AI Explainability for Trustworthy Healthcare
