Are you attending the ABRF Annual Meeting 2026? Here are the breakout sessions and workshops you won’t want to miss.

The APAN program recently unveiled new concentrations: Emerging Technologies (on technological advances in analytics) and Quantitative Management (on algorithmic decision-making, quantitative risk ...

Based Lifeworld Extension, published in AI & Society, the author confronts that gap directly. The study argues that both AI ethics and transdisciplinary research are grounded in a common but ...

An informational consumer overview of Lottery Defeated software in 2026, analyzing the platform's AI prediction claims, Smart Pick algorithm language, pricing structure, refund policy, and what prospe ...

The Mississippi Digital Humanities Hub (“The Hub”) at The University of Southern Mississippi will conduct a six-week Summer Residency Program on the Hattiesburg campus from June 15 to July 24. The ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

However, I've also witnessed projects falter when ethical considerations were treated as an afterthought, leading to eroded trust and wasted resources. That's why ethical AI is fast becoming a core ...

Beyond dashboards building data enables Stanford Health Care to deliver actionable, explainable insights for precision medicine workflows.

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

Once again, companies don’t need to prove their ability to make money to attract investors, and that’s something you might ...

While high-level AI ethics principles abound, hospitals lack practical frameworks to operationalize these principles into governance structures with measurable outcomes. This paper advances the People ...