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GW to Co-Lead a New $20 million NSF AI Institute
The George Washington University is co-leading a multi-institutional effort supported by the National Science Foundation (NSF) that will develop new artificial intelligence (AI) technologies designed to promote trust and mitigate risks, while simultaneously empowering and educating the public. The NSF Institute for Trustworthy AI in Law & Society (TRAILS) unites specialists in AI and machine learning with systems engineers, social scientists, legal scholars, educators, and public policy experts. The multidisciplinary team will work with impacted communities, private industry, and the federal government to determine how to evaluate trust in AI, how to develop technical solutions and processes for AI that can be trusted, and which policy models best create and sustain trust. David Broniatowski, an associate professor of engineering management and systems engineering at GW, is the lead principal investigator of TRAILS at GW.
The new institute is expected to transform the practice of AI by encouraging new innovations that foreground ethics, human rights, and input and feedback from communities whose voices have previously been marginalized. The NSF, in collaboration with government agencies and private sector leaders, has now invested close to half a billion dollars in the AI institutes ecosystem—an investment that expands a collaborative AI research network into almost every U.S. state.
Professor Balaras Elected ASME Fellow
September 1, 2023
Congratulations to Mechanical and Aerospace Engineering Professor Elias Balaras on being elected a Fellow of the American Society of Mechanical Engineers!
Dr. Plesniak to Co-Chair Largest Conference in Fluid Dynamics
August 31, 2023
We are excited to announce that Dr. Michael Plesniak will co-chair the 2023 meeting of the American Physical Society's Division of Fluid Dynamics!
Designing Next-generation Computing Architectures
August 31, 2023
In Spring 2023, Professor Ahmed Louri was awarded three new National Science Foundation awards to continue researching and designing next-generation computing architectures.