A key issue with artificial intelligence uptake in hospitals is the black box problem, in which AI algorithms make decisions in a way that is unexplained to physicians. Some argue though that the ...

AI systems are gaining deeper roots within organizations as they process huge amounts of data based on machine learning algorithms to make well-informed decisions and derive business insights. But the ...

To all of the people who work with machine learning and neural networks healthcare technologies, but can’t describe exactly how the gears are turning — don’t worry, you’re not alone. In a sold-out ...

What's widely known as the AI "black box" problem has become the focus of academic institutions, government agencies, and tech companies that are researching methods to explain AI decisions or to ...

Forbes contributors publish independent expert analyses and insights. Boston-based writer, speaker, and advisor on innovation and change. Oct 04, 2024, 04:16pm EDT Oct 07, 2024, 12:34pm EDT ...

Artificial intelligence has penetrated deeply into financial services, powering everything from credit scoring to fraud detection. Yet a fundamental tension exists between AI's computational power and ...

The UK Government's strategic partnership with OpenAI promises to transform public services through AI deployment across justice, healthcare, and education, but raises critical concerns about ...

AI is growing in the workplace globally, but also brings mystery. Artificial intelligence sweeping through workplaces brings all kinds of potential and excitement. But it also brings mystery — and ...

Researchers at the AI company Anthropic say they have made a fundamental breakthrough in our understanding of exactly how large language models, the type of AI responsible for the current boom, work.

The day has come: it’s time for the reveal of the Tesla Robotaxi (er, CyberCab?) After years of Tesla CEO Elon Musk’s promises to solve self-driving, the automaker is poised to reveal the culmination ...

In 2024, a leading insurance carrier faced a crisis of confidence. Its newly deployed AI, designed to flag sophisticated fraudulent claims, was failing. Not only was it missing obvious instances of ...