AI is now fundamental to business operations, but scaling these technologies without appropriate oversight introduces ...

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

It is important that organizations understand who trains their AI systems, what data was used and, just as importantly, what went into their algorithms’ recommendations. A high-quality explainable AI ...

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 Global Explainable AI (XAI) market size is estimated to grow from $3.50 billion in 2020 to $21.03 billion by 2030, according to ResearchandMarkets.

The agencies that thrive in the next decade will be the ones that train AI to help them do what they do best—deliver ...

Explainable AI isn’t enough While useful, simply possessing a better understanding of how a biased AI model arrived at a result will do little to attain trust in users. Trust can only be built ...

SUPERWISE® named in 4 Gartner® Hype Cycles™ for 2025, recognized for leadership in Explainable AI, AI observability, and model governance.

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 ...