datainnovation
Data Innovation Day 2016 - Algorithms, Automation, and Public Policy
The steady advancement of artificial intelligence is rapidly transforming our world with a host of emerging innovations such as self-driving cars, automated financial advisers, and expert medical systems. Developers are producing data-intensive computer systems designed to observe, learn, and solve complex problems faster and more accurately than their human counterparts. As these technologies become increasingly mainstream, they promise enormous public benefits including higher productivity, improved health and safety, and fairer decision making. While these technologies have incredible potential to generate economic and social good, these breakthroughs may not occur unless the public and private sectors work in partnership to promote the development and adoption of artificial intelligence, address new regulatory questions, and integrate the technology into agencies at all levels of government.
The Center for Data Innovation hosted a conversation with leading experts on the state of artificial intelligence and machine learning, the efforts by the public and private sectors to support related research and development, and the important policy steps that regulators and lawmakers should make to unlock these new opportunities.
Speakers included: Greg Corrado (co-lead of Google’s deep neural networks project), Ashley J. Llorens (Chief of the Intelligent Systems Center at the Johns Hopkins University Applied Physics Laboratory), Fernando Diaz (Senior Researcher at Microsoft Research), Dennis Mortensen (CEO, x.ai), FTC Commissioner Terrell McSweeny, Terah Lyons (Policy Advisor, Office of Science and Technology Policy, White House), Hilary Cain (Director, Tech and Innovation Policy, Toyota), and David Moschella (Director of Research, Computer Sciences Corp).
Data Innovation Day 2016 - Algorithms, Automation, and Public Policy
The steady advancement of artificial intelligence is rapidly transforming our world with a host of emerging innovations such as self-driving cars, automated financial advisers, and expert medical systems. Developers are producing data-intensive computer systems designed to observe, learn, and solve complex problems faster and more accurately than their human counterparts. As these technologies become increasingly mainstream, they promise enormous public benefits including higher productivity, improved health and safety, and fairer decision making. While these technologies have incredible potential to generate economic and social good, these breakthroughs may not occur unless the public and private sectors work in partnership to promote the development and adoption of artificial intelligence, address new regulatory questions, and integrate the technology into agencies at all levels of government.
The Center for Data Innovation hosted a conversation with leading experts on the state of artificial intelligence and machine learning, the efforts by the public and private sectors to support related research and development, and the important policy steps that regulators and lawmakers should make to unlock these new opportunities.
Speakers included: Greg Corrado (co-lead of Google’s deep neural networks project), Ashley J. Llorens (Chief of the Intelligent Systems Center at the Johns Hopkins University Applied Physics Laboratory), Fernando Diaz (Senior Researcher at Microsoft Research), Dennis Mortensen (CEO, x.ai), FTC Commissioner Terrell McSweeny, Terah Lyons (Policy Advisor, Office of Science and Technology Policy, White House), Hilary Cain (Director, Tech and Innovation Policy, Toyota), and David Moschella (Director of Research, Computer Sciences Corp).