JD Supra

Transparency, Explainability, and Interpretability of AI

Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...
Reuters

Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

NEW YORK, NY, November 28, 2025 (EZ Newswire) -- Dan Herbatschek, opens new tab, founder and CEO of Ramsey Theory Group, opens new tab, has announced a new initiative to strengthen transparency, ...
LittleTechGirl on MSN

Empowering the future of intelligent innovation: Expert perspectives from Mohamed Abdul Kadar Mohamed Jabarullah

Summary: The future of intelligent innovation will receive empowerment through the expert insights of Mohamed Abdul Kada ...
Devdiscourse

AI and machine learning drive digital transformation across global mining operations

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
Columbus Dispatch

Interpretability in deep learning for finance: A case study for the Heston model

GA, UNITED KINGDOM, January 29, 2026 /EINPresswire.com/ — Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using ...
Devdiscourse

AI in critical care: Predictive algorithms can support sepsis decision-making

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...
The Desert Sun

Interpretability in deep learning for finance: A case study for the Heston model

By demonstrating that global interpretability methods can meaningfully reduce the black-box nature of deep learning in finance, the study provides a pathway toward more transparent, trustworthy, and ...