Banks will leverage Explainable AI (XAI) tools like SHAP and LIME to demystify complex models, making AI-driven decisions and ...

AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...

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

AI is transforming the way we work and reshaping the future of banking. While the sector is heavily regulated, AI introduces new challenges—particularly around transparency in decision-making, ...

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 ...

With the agentic AI market estimated to reach USD 196.6 billion by 2034, HMX's unique positioning in cognitive AI addresses the most pressing challenges limiting enterprise agent adoption. About HMX ...

In a dizzying age of machine learning triumph, where systems can generate human-like prose, diagnose medical conditions, and synthesize novel proteins, the AI research community is facing an ...

Truera, which provides the Model Intelligence platform, emerged from stealth to launch its technology solution that removes the “black box” surrounding Machine Learning (ML) and provides intelligence ...

At high-profile TED-style events with millions of online viewers, charismatic tech CEOs take the stage to unveil their latest gadgets. In slick, high-energy presentations, they criticize the slow and ...