Page 2 - Explainable Artificial Intelligence News Today

XAI has the potential to spur cost reduction, enhancements to product development, other top-line growth opportunities and transformational business models.

XAI is the practice of making AI systems more transparent, interpretable, and comprehensible to human users.

A group of researchers at the University of Waterloo has introduced a new AI model to enhance trustworthiness and accuracy in AI-generated decisions.

Artificial intelligence (AI) has become a global revolution and has brought us well into the dawn of a new era. It is at present hugely helpful in many respects, but very difficult to comprehend while almost certainly set to impose heavier and unpredictable risks as it becomes more advanced. The deep complexities of AI will […]

The artificial intelligence story still has legs, says analysts at Citi. In fact, as noted by Bloomberg, “The roaring rally in tech stocks has further to go, as the buzz around artificial intelligence and hopes for a pause in the Federal Reserve’s ...

The Dhanani School of Science and Engineering (DSSE) at Habib University hosted the Undergraduate Research Symposium (DURS2023) on May 16, 2023. The

To unlock the true potential of artificial intelligence, investors need to accept the black box.

Deep-learning models have become very powerful, but that has come at the expense of transparency. As these models are used more widely, a new area of research has risen that focuses on creating and testing explanation methods that may shed some light on the inner-workings of these black-box models.

With conventional methods, it is extremely time-consuming to calculate the spectral fingerprint of larger molecules. But this is a prerequisite for correctly interpreting experimentally obtained d ...

MIT researchers created a method that helps humans develop a more accurate mental model of an artificial intelligence teammate, so they have a better understanding of when they should trust the AI agent’s algorithmic predictions.