Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations (open access)

Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations

"This report addresses the clear need for sharing knowledge and developing policies for “Artificial Intelligence,” a rapidly advancing class of foundational capabilities which are increasingly embedded in all types of educational technology systems and are also available to the public. We will consider “educational technology” (edtech) to include both (a) technologies specifically designed for educational use, as well as (b) general technologies that are widely used in educational settings. Recommendations in this report seek to engage teachers, educational leaders, policy makers, researchers, and educational technology innovators and providers as they work together on pressing policy issues that arise as Artificial Intelligence (AI) is used in education" (p. 1)
Date: May 2023
Creator: United States. Office of Educational Technology.
System: The UNT Digital Library
Interim Report and Third Quarter Recommendations, October 2020 (open access)

Interim Report and Third Quarter Recommendations, October 2020

A report containing the National Security Commission on Artificial Intelligence (NSCAI)'s third quarterly memo and second interim report with 66 recommendations in key areas. They are organized under five tabs: strengthening the triangular alliance for AI research, applying AI for national security missions, training and recruiting AI talent, protecting and building upon U.S. technology advances, and marshaling global AI cooperation & ethics.
Date: October 2020
Creator: National Security Commission on Artificial Intelligence (U.S.)
System: The UNT Digital Library
Artificial Intelligence for Earth System Predictability: 2021 Workshop Report (open access)

Artificial Intelligence for Earth System Predictability: 2021 Workshop Report

This report documents the proceedings and results from the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop. The goals of this workshop were to explore more radically and aggressively advance prediction capabilities in the climate, Earth, and environmental sciences through the use of modern data analytics and artificial intelligence.
Date: September 1, 2022
Creator: Hickmon, Nicki; Varadharajan, Charuleka; Hoffman, Forrest; Wainwright, Haruko & Collis, Scott
System: The UNT Digital Library