One of the most important aspects of data science is building trust. This is especially true when you're working with machine learning and AI technologies, which are new and unfamiliar to many people.

AI systems seem like an exciting, effective new tool. But, as we have seen with Google’s recent struggles with accuracy, and Microsoft’s trouble with sentient, unhinged chat bots, not all of the kinks ...

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

The financial services industry is undergoing an AI-driven transformation that extends well beyond the generative-AI headlines. Chatbots may capture attention, but a far quieter and more consequential ...

Generative AI applications extend from physiotherapists using text-to-video tools demonstrating patient recovery exercises to coding Q&As that decrease network language complexity. These pre-trained ...

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

Artificial intelligence is seeing a massive amount of interest in healthcare, with scores of hospitals and health systems already have deployed the technology – more often than not on the ...

Would you blindly trust AI to make important decisions with personal, financial, safety, or security ramifications? Like most people, the answer is probably no, and instead, you’d want to know how it ...

Mrinal Manohar is CEO of Prove AI, an AI governance solution offering certifiable, tamper-proof auditing for organizations using AI models. California's AI regulation SB 1047, which Governor Gavin ...