Robot Governance – Institutions and Issues
Dr. Aaron Mannes, ISHPI Information Technologies
10:30-11:30 Tuesday, 24 July 2018, ITE 346
Inexpensive sensors and information storage and processing have enabled the large-scale production of robots: autonomous systems capable of acting on the world. These systems represent an enormous technological and economic opportunity that will change society in countless and unpredictable ways. They will also bring new policy challenges. This presentation examines the missions the government will need to undertake to address the challenges raised by this new technology, identifies critical gaps the government faces in carrying out these missions, and discusses institutional options to address these gaps.
Dr. Aaron Mannes is the Senior Policy Advisor at ISHPI Information Technologies, where he supports the Apex Data Analytics Engine (DA-E) at the Department of Homeland Security Science and Technology Directorate. In supporting DA-E, Dr. Mannes collaborates on big data projects that support the Homeland Security Enterprise and researches technology policy. He started at DHS as an American Association for the Advancement of Science Policy Fellow in September 2015. From 2004 to 2015, Dr. Mannes was a researcher at the University of Maryland Institute for Advanced Computer Studies (UMIACS) where he was the subject matter expert on terrorism and international affairs collaborating with a team of inter-disciplinary scientists to build computational tools to support decision-makers facing 21st century security and development problems. Dr. Mannes earned his Ph.D. at the University of Maryland’s School of Public Policy in 2014. His dissertation topic was the evolving national security role of the vice president.
Dr. Mannes is the author or co-author of four books on terrorism and has written scores of articles, papers, and book chapters on an array of topics including Middle East affairs, terrorism, technology, and other international security issues for popular and scholarly publications including Politico, Policy Review, The Wall Street Journal, Foreign Policy, The Journal of International Security Affairs, The Huffington Post, The National Interest, The Jerusalem Post, and The Guardian.
This research was conducted with the support of the Apex Data Analytics Engine in the Department of Homeland Security (DHS) Science and Technology Directorate (S&T). In no way should anything stated in this seminar be construed as representing the official position of DHS S&T or any other component of DHS. Opinions and findings expressed in this seminar, as well as any errors and omissions, are the responsibility of the presenter alone.