CEO of Neurala, a deep learning neural network software company, and founding director of the Neuromorphics Lab at Boston University. Automation: A word that simultaneously evokes technological and ...

We study the role of AI transparency and explainability in shaping user trust, comprehension, and decision satisfaction. Our research evaluates how different forms of explanations—such as procedural ...

Forbes contributors publish independent expert analyses and insights. People distrust artificial intelligence and in some ways this makes sense. With the desire to create the best performing AI models ...

Explainability is not just a roadblock to AI adoption - it also has implications for public health and safety. This is how the tensions between transparency, accuracy and performance are coming to a ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As AI impacts more industries and areas of society, startups are building ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Truera, a startup developing a machine ...

TruEra, provider of a suite of AI quality solutions, is releasing TruLens, an open source explainability software tool for machine learning models that are based on neural networks. TruLens is a ...

AI explainability remains an important preoccupation - enough so to earn the shiny acronym of XAI. There are notable developments in AI explainability and interpretability to assess. How much progress ...