Nutshell reports that ethical AI practices in sales build customer trust through transparency, human oversight, and ...

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

Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

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 ...

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

Retail is entering a new phase of digital maturity, one where AI isn’t just a tool to optimize processes, but the engine ...

In an era where trust has become the currency of the digital economy, Dorai Surendar Chittoor stands as one of the foremost architects of transparent and explainable AI systems. For over a decade, he ...

GenesisEdge Society introduces ΣClipse AI, a system shaped by Richard Schmidt to bring higher transparency, structured insight, and responsible reasoning to ESG-focused teams across industries.

If you’re thinking about deploying AI in triage, advice and lending decisions then you need to be aware of ‘explainability’.

Hospitals are rethinking how they invest in AI as the Trump administration moves to consolidate AI oversight — a shift that’s already affecting vendor selection and governance frameworks, according to ...

As AI and machine learning (ML) become standard features in many industries, a growing but often unnoticed risk is emerging. More and more third-party vendor applications are integrating AI ...