Explainable AI (XAI): The Key to Building Trust and Preparing for a New Era of Automation
XAI provides full insight into what decisions a system is making and why, which, in turn, identifies what data can be trusted and what data should be cast …
XAI provides full insight into what decisions a system is making and why, which, in turn, identifies what data can be trusted and what data should be cast …
The ACM has called on developers to foster safety cultures with algorithm development, and to promote internal and external
Even with the growth in demand for AI-driven financial products and offerings, many financial services firms have yet to develop and hold themselves …
As enterprises seek to unlock the opportunities of synthetic reality created by generative AI, building trust will be
In this week's real-time analytics news: The IEEE and the IEEE Standards Association (IEEE SA) announced a program that provides guidance on trustworthy
The misunderstandings business leaders have about the inner workings of AI and machine learning processes could continue to hamper adoption.
Although public perception is changing, there’s still a serious disconnect. The public today still isn’t quite sure what positive benefits AI brings to …
Making sense of AI decisions is important to researchers, decision-makers, and the wider public. Fortunately, there are methods available to ensure we know …
For data labeling to be ethical and truly successful, organizations need to ensure that the people behind the tech feel that they are involved in the world …
NIST makes a strong argument for looking beyond data and even the ML processes to discover and destroy AI