Everyone is talking about “responsible AI,” but few are doing anything about it. A new survey shows that most executives see the logic and benefits of pursuing a responsible AI approach, but little ...

Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...

AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...

Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...

Enterprise AI adoption has entered a more pragmatic phase. For technology leaders, the challenge is no longer convincing the organisation that AI has potential. It is ensuring that systems influencing ...

Artificial intelligence is deeply embedded in the daily workings of financial institutions, whether analyzing credit risk, automating underwriting, flagging fraud, or generating investment insights.

As enterprises shift from AI experimentation to scaled implementation, one principle will separate hype from impact: explainability. This evolution requires implementing 'responsible AI' frameworks ...

A lack of formal regulation of AI usage in insurance is one of the biggest challenges facing the American insurance industry today, according to Darcy Rittinger, chief risk officer, Cover Genius. “I ...

The day is June 20, 2025 . I am standing on a stage at the International Paris Airshow at Le Bourget, pitching and ...