Overview:  When learning systems rely on historical data, they often reproduce past biases, shaping student outcomes in ways that seem neutral but are unfa ...

Chagal-Feferkorn’s work examines the gray areas of liability when autonomous systems are involved in causing damage, the ...

A new study has found that women are using generative AI far less than men because they are more concerned about its ...

Stanford faculty across disciplines are integrating AI into their research, balancing its potential to accelerate analysis against ethical concerns and interpretive limitations.

AI will change how we practice medicine, whether we are ready or not. The real question is, are we willing to ask the ethical ...

Researchers have created a new tool, ELAXIR, to improve AI literacy and raise awareness of the ethical challenges of using AI ...

Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine learning, and computational ...

Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...

Nutshell reports that ethical AI practices in sales build customer trust through transparency, human oversight, and ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

People don't fear automation, they fear losing control or clarity. Accessibility and explainability give that control back.

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 ...