Self-directed learning, a model in which learners take active control over their study goals, pace, and evaluation, has ...

The study examined how often participants changed their mind after seeing the AI’s output. When the AI agreed with their initial choice, participants rarely engaged deeply with the explanation, often ...

Kubit, the leading customer journey analytics platform, today announced the launch of Ask Kubit, a conversational AI ...

Explainable AI works to make these AI black-boxes more like AI glass-boxes. Although businesses understand the many benefits to AI and how it can provide a competitive advantage, they are still wary ...

AI in 2035 will see, hear and sense — offering real-time support tailored to you. With multimodal capabilities, assistants ...

AI is rapidly reshaping the landscape of fraud prevention, creating new opportunities for defense as well as new avenues for deception.

Explainable AI helps companies identify the factors and criteria algorithms use to reach decisions. (Photo by Jens Büttner/picture alliance via Getty Images) Artificial intelligence is biased ...

This is partly why explainable AI is not enough, says Anthony Habayeb, CEO of AI governance developer Monitaur. What’s really needed is understandable AI.

An explainable AI yields two pieces of information: its decision and the explanation of that decision. This is an idea that has been proposed and explored before.

Explainable AI begins with people. AI engineers can work with subject matter experts and learn about their domains, studying their work from an algorithm/process/detective perspective.