This study identifies limited engagement with equity among academic medical centers as they develop governance processes for artificial intelligence (AI)/machine learning and predictive technologies.

The digital transformation of education systems has fueled a definitive shift in how student data is stored. In less than a decade, schools have leapt from paper-heavy systems to centralized digital ...

For AI to deliver meaningful educational value, policy frameworks must evolve alongside technology. Without clearly defined ...

School districts collect vast amounts and varieties of data, from student performance and attendance to staff information and operational systems. Ideally, this data can enable informed ...

The study titled “The Attention Mismatch: Mapping the Structural Academic Governance Deficit in the Age of Generative AI” is a large-scale, multi-layered analysis of how AI-generated content is ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

It is often said that anything you can say about India, the opposite is equally valid. In recent years, data-driven decision-making has become a buzzword in policymaking circles across sectors in the ...

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

"The convergence of artificial intelligence with traditional industries represents more than technological advancement," reflects Tharakesavulu Vangalapat, Sr. Director of Data Science at Broadridge ...

The State University of New York College of Environmental Science and Forestry (SUNY ESF) strives to establish an essential framework for the necessary control and enforcement mechanisms of ...