A World Class Engineering School in the Heart of the Nation's Capital
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.
A Tale of Two Topics: Innovating Medical Imaging and Broadening Access to Research
February 9, 2024
Professor Jason Zara exemplifies the diverse research interests of GW Engineering faculty through his two vastly different research thrusts, innovating medical imaging and broadening access to undergraduate research.
Meta's New AI Labels Won't Solve the 'Taylor Swift Problem'
February 8, 2024
Reporters at The Washington Post interviewed AI experts, such as EMSE professor David Broniatowski, to comment on the restrictions of Meta's labeling system for AI-generated content.
Using Lived Experience to Study Security and Privacy Concerns Among US Immigrants
February 7, 2024
In a recent study, a team of researchers from the GW Usable Security and Privacy Lab investigated the intertwined roles of information, security, privacy, and safety through the process of obtaining a visa and moving to the US.