The key to enterprise-wide AI adoption is trust. Without transparency and explainability, organizations will find it difficult to implement success-driven AI initiatives. Interpretability doesn’t just ...

From ChatGPT crafting emails, to AI systems recommending TV shows and even helping diagnose disease, the presence of machine ...

Liberate AI, an interdisciplinary project uniting researchers from the medical domain, computer science, and trustworthy artificial intelligence (AI), aims to develop an AI model capable of supporting ...

Courts and regulators are signaling that a company’s duty to explain automated decisions is rapidly becoming a standard expectation, not just a discretionary best practice. Failure to meet these ...

When AI can explain its why, not just its what, hospitals can have greater success in adopting these tools at scale.

Overview: AI’s growth will amplify both productivity gains and societal risks.Trust in AI will rise even as transparency ...

Overview AI innovation is accelerating faster than traditional governance and oversight frameworks.Transparency remains vital ...

Successful AI vendors recognize that even the best technology must fit into a highly human-centered and often unpredictable environment. Provided byMayo Clinic Platform In a market flooded with AI ...

What to look for as AI’s influence continues to spread in the new year. Artificial intelligence certainly didn’t debut in ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...