Recent advances of machine learning and autonomy are expected to leverage important, if not disruptive, improvements in almost all dimensions of warfare, including missile defense, electronic warfare and cyber warfare. They are also expected to generate new and unprecedented risks to international security and nuclear stability, while potentially offering positive developments in terms of transparency and verification. This talk will discuss some of the findings from SIPRI’s two-year study on technical and strategic advances in machine learning and autonomy among nuclear-armed states, with a particular focus on China and the Asia-Pacific region.
Dr. Lora Saalman is a senior fellow with the EastWest Institute’s (EWI) Global Cooperation in Cyberspace Program and an associate senior fellow at the Stockholm International Peace Research Institute’s (SIPRI) Armament and Disarmament Program. Formerly she served as vice president of the Asia-Pacific Program at EWI and as director of the China and Global Security Program at SIPRI. She has also worked at the Daniel K. Inouye Asia-Pacific Center for Security Studies, Carnegie-Tsinghua Center for Global Policy, Tsinghua University, Wisconsin Project on Nuclear Arms Control, Observer Research Foundation, and Center for Nonproliferation Studies from which she earned a one-year fellowship at the IAEA. She earned her bachelor’s degree with honors from the University of Chicago, her master’s degree with a certificate in nonproliferation from the Monterey Institute of International Studies and her Ph.D. at Tsinghua University in Beijing, where she was the first American to earn a doctorate from its Department of International Relations, completing all of her coursework in Chinese.
Recent advances of machine learning and autonomy are expected to leverage important, if not disruptive, improvements in almost all dimensions of warfare, including missile defense, electronic warfare and cyber warfare. They are also expected to generate new and unprecedented risks to international security and nuclear stability, while potentially offering positive developments in terms of transparency and verification. This talk will discuss some of the findings from SIPRI’s two-year study on technical and strategic advances in machine learning and autonomy among nuclear-armed states, with a particular focus on China and the Asia-Pacific region.
Dr. Lora Saalman is a senior fellow with the EastWest Institute’s (EWI) Global Cooperation in Cyberspace Program and an associate senior fellow at the Stockholm International Peace Research Institute’s (SIPRI) Armament and Disarmament Program. Formerly she served as vice president of the Asia-Pacific Program at EWI and as director of the China and Global Security Program at SIPRI. She has also worked at the Daniel K. Inouye Asia-Pacific Center for Security Studies, Carnegie-Tsinghua Center for Global Policy, Tsinghua University, Wisconsin Project on Nuclear Arms Control, Observer Research Foundation, and Center for Nonproliferation Studies from which she earned a one-year fellowship at the IAEA. She earned her bachelor’s degree with honors from the University of Chicago, her master’s degree with a certificate in nonproliferation from the Monterey Institute of International Studies and her Ph.D. at Tsinghua University in Beijing, where she was the first American to earn a doctorate from its Department of International Relations, completing all of her coursework in Chinese.
