AI won’t break the enterprise by failing — it will break trust when leaders can’t explain why it made a decision they’re expected to defend.

Recent industry assessments and academic research indicate that gaps in transparency, evaluation standards, and human ...

How to Control Risk, Stay Compliant, and Scale AI Safely in 2026 Artificial intelligence is no longer experimental. By 2026, AI systems are embedded in customer support, security operations, ...

Artificial intelligence has become central to business operations, from procurement to financial services to customer experience. But as adoption accelerates, one concern remains constant: trust.

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. A report by the Chartered Financial Analyst Institute released ...

Explainable AI allows payment providers to communicate clear, human-understandable reasons for decision. Reduce false ...

Explanation-driven manipulation represents a structural vulnerability in AI-assisted decision making. Attackers do not need to compromise training data, model parameters, or system infrastructure.

Patients worldwide are cautiously optimistic about the use of AI in healthcare. Most support it as a helpful assistant, but few trust it to replace doctors, according to a new study that reveals trust ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...