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

The responsibility of building trust in AI requires a collaborative effort among software developers, governments, industry ...

The autonomous enterprise isn't about achieving complete automation; it's about creating an environment where technology and ...

CNW/ - NetraMark Holdings Inc. (the "Company" or "NetraMark") (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: PF0) a premier ...

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 ...

Publication by the University of Bonn warns of misunderstandings in handling predictive algorithms Researchers from chemistry ...

Retrieval-augmented generation (RAG) techniques are employed to combine the generative power of LLMs with the retrieval ...

The increasing demand for AI-driven decision-making transparency across industries is fueling the Explainable AI market growth. Businesses are actively integrating AI models with enhanced ...

The integration of artificial intelligence (AI) into insurance claims processing is fundamentally reshaping the industry.