AI and National Security: Gender, Race, and Algorithms
Elizabeth Adams will discuss the implications of algorithmic bias for women and people of color with a particular focus on national security
Artificial intelligence (AI) promises to have transformative impacts across a variety of industries and use cases, impacting everything from the future of work to national security. The US government is estimated to have spent $6 billion on AI-related projects in 2021. However, research has revealed the bias that can be present in AI systems as existing human biases and inequalities are built into algorithms. Facial recognition algorithms, for example, are worse at identifying women and people of color.
This event will explore the ways that biased algorithms affect women, people of color, and society as a whole with a particular focus on the implications of biased AI algorithms for national security.
Keynote speaker: Elizabeth M. Adams is the CEO of EMA Advisory Services, an Affiliate Fellow at Stanford University’s Institute for Human Centered AI, and currently serves as the Global Chief AI Culture & Ethics Officer for Women in AI. She has helped executives, small business owners, non-profits, educational institutions, and community leaders expand their knowledge of AI Ethics. As a scholar practitioner, Elizabeth has developed her expertise working with technical and non-technical leaders, and creating alliances with community that translate theory into results. She also previously spent over 20 years working in various roles across the US government.
Moderator: Dr. Heather Roff is a Senior Research Scientist at CNA, a nonresident fellow in the Foreign Policy program at The Brookings Institution, and an Associate Fellow at University of Cambridge Leverhulme Centre for the Future of Intelligence. She previously served as a senior research analyst at the Johns Hopkins Applied Physics Lab (APL) in the National Security Analysis Department and as a senior research scientist at DeepMind, one of the leading artificial intelligence companies, in their ethics & society team. Her research interests include the law, policy, and ethics of emerging military technologies, such as autonomous weapons, artificial intelligence, robotics, cybersecurity, and more recently quantum, as well as international security and human rights protection. Her recent work focuses on generating normative principles for the use of AI for national defense, as well as particular epistemological issues with AI for defense related applications. Roff received her doctorate in political science from the University of Colorado at Boulder.
Inclusive National Security (InclusiveNatSec) is a CNA-funded initiative dedicated to fostering discussions on inclusivity in national security among the community of national security professionals who are exploring the implications of structural biases in their work. The seminar series explores what national security thought leaders can do to counter the influence of structural and systemic biases. Those who are interested in joining the InclusiveNatSec community can visit our website, follow the group on Twitter, and join the mailing list by emailing email@example.com.
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