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 ...

The review found that while AI is making inroads in specific use cases, such as computer vision for medical imaging, ...

StayModern reports there are five industries ripe for AI disruption: healthcare, finance, retail, legal, and manufacturing.

As artificial intelligence reshapes industries, its transformative potential remains out of reach for many. While AI i ...

US], August 14: Narwal, an award-winning niche technology solutions company, is excited to announce the appointment of Ravi ...

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 ...

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.

As of August 2020, IDC reported that the AI market - including software, hardware, and services, are forecast to grow 12.3 percent to $156.5 billion in 2020. Worldwide AI revenues will surpass ...

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.