Researchers used "Explainable AI" techniques—a type of AI that allows humans to understand how it works—to analyze retrospective data on more than 19,000 patients who had completed IVF treatment.

The platform’s key innovation is DLBacktrace, a new explainable AI technique for deep learning models that allows enterprises to trace AI decision-making processes. Notably, Arya.ai is making ...

An expert Q&A on the disclosure and explainability of generative AI (GenAI) in bankruptcy proceedings, including the use of ...

From risk management and regulatory compliance to predictive analytics and cybersecurity, AI promises to bring a new era of transparency, efficiency and innovation to the finance ecosystem. The ...

If 2024 was a year of experiments, 2025 needs to be precise. Responsible AI is crucial as we begin to bring artificial ...

The development of agentic AI opens new possibilities for automation across industries, enhancing efficiency and responsiveness. Explainable AI (XAI) aims to make the decision-making processes of ...

This PhD project, a collaboration between Ulster University and Thales IAS, aims to advance research in Explainable AI (XAI), addressing the growing need for trust and transparency in AI systems.

In response to potential risks, “Explainable AI” has emerged as a valuable approach. It offers insights into how AI creates content, ensuring that its conclusions stem from reliable and ...

From Apple’s entry into generative AI to unprecedented achievements in robotics and art, 2024 marked ... [+] a transformative year in artificial intelligence innovation. Without a doubt ...

Well, it’s time for a switch-up: AI agents are here, drastically changing how we interact in Web3. Unlike chatbots that wait patiently for you to inquire about the next big AI coin or ask if ...