The study suggests that the absence of explanations undermined trust, prompting human operators to dismiss AI-generated ...

Guardrails are essential to ensure AI serves the purpose of innovative care delivery models without unintended consequences.

A Culture of Responsibility: No matter how advanced your tools are, it’s people who make ethical decisions. Provide regular ...

As increasing use cases of AI in insurance add urgency to the need for explainability, experts are recommending best practices.

Trust is, at its core, a deeply human phenomenon. When we step onto a bus, it's the driver we trust to bring us safely to our destination—but what about the bus? Can ... that an AI system performs in ...

American insurers are being urged not to drag their feet on ensuring their use of AI is “explainable” to regulators and consumers.

Explainable AI is used throughout the credit process: Risk Assessment: Helping banks identify potential default risks with ...

Artificial intelligence trust ... through explainable, non-generative AI models, providing accurate and traceable oversight. With full enterprise observability, businesses can monitor AI ...

That makes doctors less likely to trust ... can you explain your prediction?" In new research, Bardhan makes AI's outputs more understandable and useful to ICU doctors, an approach called ...