Special Edition of 'AI Magazine' Spotlights Georgia Tech's NSF AI Institutes

March 27, 2024

The Association for the Advancement of Artificial Intelligence released its Spring 2024 special issue of AI Magazine (Volume 45, Issue 1). This issue highlights research areas, applications, education initiatives, and public engagement led by the National Science Foundation (NSF) and USDA-NIFA-funded AI Research Institutes. It also delves into the background of the NSF’s National AI Research Institutes program, its role in shaping U.S. AI research strategy, and its future direction. Titled “Beneficial AI,” this issue showcases various AI research domains, all geared toward implementing AI for societal good.

The magazine, available as open access at https://onlinelibrary.wiley.com/toc/23719621/2024/45/1a one-year effort, spearheaded and co-edited by Ashok Goel, director of the National AI-ALOE Institute and professor of computer science and human-centered computing at Georgia Tech, along with Chaohua Ou, AI-ALOE’s managing director and assistant director, Special Projects and Educational Initiatives Center for Teaching and Learning (CTL) at Georgia Tech, and Jim Donlon, the NSF's AI Institutes program director.

In this issue, insights into the future of AI and its societal impact are presented by the three NSF AI Institutes headquartered at Georgia Tech:

The magazine provides a comprehensive overview of how each of the 25 institutes is shaping the future of AI research.

About 'AI Magazine'

AI Magazine is an artificial intelligence magazine by the Association for the Advancement of Artificial Intelligence (AAAI). It is published four times each year, and is sent to all AAAI members and subscribed to by most research libraries. Back issues are available online (issues less than 18 months old are only available to AAAI members).

The purpose of AI Magazine is to disseminate timely and informative articles that represent the current state of the art in AI and to keep its readers posted on AAAI-related matters. The articles are selected to appeal to readers engaged in research and applications across the broad spectrum of AI. Although some level of technical understanding is assumed by the authors, articles should be clear enough to inform readers who work outside the particular subject area. 

To learn more, click here.

For More Information Contact

Breon Martin

AI Research Communications Manager

Georgia Tech