The pursuit of Artificial General Intelligence (AGI) is gaining momentum among tech giants and elite research institutions, with efforts aimed at creating machines as smart as humans. However, defining AGI remains elusive and achieving consensus on its attainment poses challenges. While advancements in AI are notable, the potential existential risks associated with AGI development underscore the need for careful consideration and regulatory frameworks.
Faculty experts at the George Washington University are available to offer insight and analysis on the current state of AGI and challenges to come. If you would like to speak with an expert, please contact GW Media Relations at gwmedia
gwu [dot] edu (gwmedia[at]gwu[dot]edu).
Patrick Hall, a teaching assistant professor of decision sciences, teaches data ethics, business analytics, and machine learning classes. He also conducts research in support of NIST's AI risk management framework and is affiliated with leading fair lending and AI risk management advisory firms. Hall co-founded BNH.AI, a boutique law firm focused on AI governance and risk management. He led H2O.ai's efforts in responsible AI, resulting in one of the world's first commercial applications for explainability and bias mitigation in machine learning. He has also built machine learning software solutions and advised on matters of AI risk for Fortune 100 companies, cutting-edge startups, Big Law, and U.S. and foreign government agencies.
Susan Ariel Aaronson is a research professor of international affairs, director of the GW Digital Trade and Data Governance Hub, and co-PI of the NSF Trustworthy AI Institute for Law and Society at GW, where she directs work on data and AI governance. She also directs projects on governing data for generative AI, ensuring that data is globally accurate, complete, and representative and on AI protectionism. Aaronson can discuss its implications for competitiveness and international relations.
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