Abstract: In 2015 nations agreed to the Sustainable Development Goals, including ending poverty, protecting the planet, and ensuring prosperity for all. To accomplish them, we need to find synergies across the seventeen goals. Fortunately, some co-benefits are clear.  Cutting greenhouse gas emissions does much more than fight climate change.  It saves water and improves water quality. It saves lives, too, as witnessed by the ~20,000 or more people who die from coal pollution each year in the United States, with a million more people worldwide. The low-carbon economy will help stabilize national security, create net jobs, and more.

About the Speaker: Rob Jackson is Douglas Provostial Professor and Chair of the Earth System Science Department at Stanford University and a Senior Fellow in Stanford's Woods Institute for the Environment and Precourt Institute for Energy (jacksonlab.stanford.edu).  As an environmental scientist, he chairs the Global Carbon Project (globalcarbonproject.org), an international organization that tracks natural and anthropogenic greenhouse gas emissions.  His photographs have appeared in many media outlets, including the NY Times, Washington Post, and USA Today, and he has published several books of poetry. Jackson is a Fellow of the American Geophysical Union and the Ecological Society of America and was honored at the White House with a Presidential Early Career Award in Science and Engineering.

Abstract: Should we be concerned about long-term risks from superintelligent AI?

If so, what can we do about it?  While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required. Instead of building systems that optimize arbitrary objectives, we need to learn how to build systems that will, in fact, be beneficial for us.  I will show that it is useful to imbue systems with explicit uncertainty concerning the true objectives of the humans they are designed to help.

About the Speaker: Stuart Russell received his B.A. with first-class honors in physics from Oxford University in 1982 and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is Professor (and formerly Chair) of Electrical Engineering and Computer Sciences and holder of the Smith-Zadeh Chair in Engineering. He is also an Adjunct Professor of Neurological Surgery at UC San Francisco and Vice-Chair of the World Economic Forum's Council on AI and Robotics. He is a recipient of the Presidential Young Investigator Award of the National Science Foundation, the IJCAI Computers and Thought Award, the World Technology Award (Policy category), the Mitchell Prize of the American Statistical Association and the International Society for Bayesian Analysis, and Outstanding Educator Awards from both ACM and AAAI. In 1998, he gave the Forsythe Memorial Lectures at Stanford University and from 2012 to 2014 he held the Chaire Blaise Pascal in Paris. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His research covers a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, computer vision, computational physiology, global seismic monitoring, and philosophical foundations. His books include The Use of Knowledge in Analogy and Induction, Do the Right Thing: Studies in Limited Rationality (with Eric Wefald), and Artificial Intelligence: A Modern Approach (with Peter Norvig).

Abstract: Current technologies and practices have created large stores of medical data, including electronic medical records, genomic data, and mobile-health measurements.  There is great promise for discovery and implementation of more efficient and effective health care, but there are also tensions between the sharing of data and the ability to make assurances about security and privacy to patients and study participants.  I will discuss these challenges in the setting of genomic research and medical record data mining.  In many cases, social mechanisms are likely to be the more reliable safeguards than technical mechanisms for privacy, security, and obfuscation.

About the Speaker: Russ Biagio Altman is a professor of bioengineering, genetics, medicine, and biomedical data science (and of computer science, by courtesy) and past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing and informatics technologies to problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels.  His lab studies how human genetic variation impacts drug response (e.g. http://www.pharmgkb.org/). Other work focuses on the analysis of biological molecules to understand the actions, interactions and adverse events of drugs (http://feature.stanford.edu/).  He helps lead an FDA-supported Center of Excellence in Regulatory Science & Innovation (https://pharm.ucsf.edu/cersi). Dr. Altman holds an A.B. from Harvard College, and M.D. from Stanford Medical School, and a Ph.D. in Medical Information Sciences from Stanford. He received the U.S. Presidential Early Career Award for Scientists and Engineers and a National Science Foundation CAREER Award. He is a fellow of the American College of Physicians (ACP), the American College of Medical Informatics (ACMI), the American Institute of Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS). He is a member of the National Academy of Medicine (formerly the Institute of Medicine, IOM) of the National Academies.  He is a past-President, founding board member, and a Fellow of the International Society for Computational Biology (ISCB), and a past-President of the American Society for Clinical Pharmacology & Therapeutics (ASCPT).  He has chaired the Science Board advising the FDA Commissioner, currently serves on the NIH Director’s Advisory Committee, and is Co-Chair of the IOM Drug Forum.  He is an organizer of the annual Pacific Symposium on Biocomputing (http://psb.stanford.edu/), and a founder of Personalis, Inc.  Dr. Altman is board certified in Internal Medicine and in Clinical Informatics. He received the Stanford Medical School graduate teaching award in 2000, and mentorship award in 2014.

Abstract: Supercomputing impacts everybody, everywhere, every day. The simulation capabilities have allowed advanced medicine, energy, aviation and manufacturing. Supercomputers allow us to explore fields such as global climate change, as well as tackle problems for which experiments are impractical, hazardous or prohibitively expensive. The Department of Energy is a leader in supercomputers as part of their national security mission. With the demise of underground testing, supercomputers are a key resource used to ensure the safety and reliability of the nuclear stockpile. This talk will explore the buildup to our current petaflop systems and the challenges to obtaining exascale systems in the future.

About the speaker: As Acting Associate Director for Computation at Lawrence Livermore National Laboratory (LLNL), Trish Damkroger leads the 1,000-employee workforce behind the Laboratory’s high performance computing efforts. The Computation team develops and deploys an integrated computing environment for petascale analytics and simulations such as understanding global climate warming, clean energy creation, biodefense, and nonproliferation. LLNL’s computing ecosystem includes high performance computers, scientific visualization facilities, high performance storage systems, network connectivity, multiresolution data analysis, mathematical models, scalable numerical algorithms, computer applications, and necessary services to enable LLNL mission goals and scientific discovery through simulation.

Abstract:  Institutions like LLNL are part of an enterprise established in the mid-twentieth century to enable teams of scientists and engineers to deliver technological capabilities to address challenges to U.S. national security.  The steadily increasing pace of technological change, the reduced proportion of U.S. government funding invested in research and development relative to private sector investments, and the accelerating resources and programs for research globally have dramatically changed the context for this enterprise. Operational practices established to meet the national security needs of the last century must be updated to ensure that the national security science and technology enterprise can continue to deliver high quality capabilities to meet future threats and innovation to enhance U.S. national and economic security. Possible approaches for updating research careers and the structure of institutions include revamping policies for domestic and international partnerships, more effectively managing dual use technologies, and updating enterprise elements to draw on cutting-edge developments in academia and industry.

About the Speaker:  Patricia Falcone is the Deputy Director for Science and Technology, and Chief Technology Officer, of the Lawrence Livermore National Laboratory (LLNL). From 2009 to 2015, she served in the White House Office of Science and Technology Policy, including as the presidentially appointed and Senate-confirmed Associate Director for National Security and International Affairs.  Earlier she worked at the Sandia National Laboratories in Livermore, CA.  She earned a Ph.D. working in the High Temperature Gasdynamics Laboratory in Stanford’s mechanical engineering department.