A new study by SRH University emphasizes the benefits of explainable AI systems for the reliable and transparent detection of ...

Transparency, fairness and cybersecurity form the backbone of responsible AI, each essential to building trust and enabling impactful outcomes.

Google’s updated AI ethics policy removes its promise that it won’t use the technology to pursue weapons and surveillance.

Blockchain and artificial intelligence (AI) have transformed business and innovation. While blockchain is renowned for ...

Nar Hari Singh The advent of Artificial Intelligence (AI) has heralded transformative changes across various industries, and ...

AI is no longer just a product of research labs and private enterprises; it is deeply embedded in critical public services ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

The government must improve transparency around the use of artificial intelligence systems throughout the public sector if it is going to gain and retain trust in how the technology is being deployed.

Europe needs to develop trustworthy AI, focused on transparency, explainability, and reliability. Robust AI systems must be trusted by the public and industry – but much more investment is needed.

From chatbots supporting patients to AI diagnostic tools, artificial intelligence is reshaping healthcare delivery, as evidenced at the IMAGINE AI event.

Veolia has teamed up with Mistral AI to transform resource management with generative AI and increase ecological ...