Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...
The explainable AI market presents opportunities in enhancing transparency and decision-making across sectors like healthcare ...
People don't fear automation, they fear losing control or clarity. Accessibility and explainability give that control back.
Chagal-Feferkorn’s work examines the gray areas of liability when autonomous systems are involved in causing damage, the ...
• AI systems are therefore not trustworthy: Since contemporary AI systems are not explainable or interpretable, humans do not trust them. Trust develops over time, but predictability and transparency ...
HGS (listed on BSE & NSE), a leading provider of digital experience, business process management (BPM), and digital media services, today announced the launch of AMLens, a next-generation, AI-powered ...
The research shows that trust itself is not abstract or emotional. It is built primarily on users’ assessment of data ...
Yes, that Boolean logic. The one you probably first encountered as a student: True or False, AND, OR, NOT. The kind of rigid, ...
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Dr. Karthik Kambhampati: Building the future of secure cloud systems with artificial intelligence
As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a Principal Software Engineer and Salesforce Architect, that challenge has become ...
Self-correcting supply chains mark a shift from reactive analytics to proactive adaptation: AI that can detect disruption, ...
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