Researchers from DZNE, Ludwig-Maximilians-Universität München (LMU), and Technical University of Munich (TUM) have found that ...

Civic engagement platforms (CEPs) are online infrastructures that facilitate democratic dialogue, community decision-making, ...

More physicians than ever are turning to AI to improve efficiency — from administrative tasks to diagnosis and treatment — ...

By providing a "source of truth," open-source intelligence (OSINT) can support initiatives in building digital trust.

Denodo Technologies has announced the release of Denodo DeepQuery, a new deep research capability designed to enhance AI ...

Explainable AI (XAI) is an emerging field in machine learning that aims to address how black box decisions of AI systems are made. This area inspects and tries to understand the steps and models ...

A Future with Explainable AI. Explainable AI is the future of business decision-making. Explainable decision making plays a role in every aspect of AI solutions from training, QA, deployment, ...

As tech writer Scott Clark noted on CMSWire recently, explainable AI provides necessary insight into the decision-making process to allow users to understand why it is behaving the way it is.

Explainable AI addresses this limitation by providing insight into the model’s decision-making process,” the Virginia Tech team notes. The study authors actually created and tested an MPEA ...

Why explainable AI matters. According to a report released by KPMB and Forrester Research last year, only 21 percent of US executives have a high level of trust in their analytics. “And that’s ...