Field Notes: Organizational Models for Responsible AIMonday, May 18, 2020
Susan EtlingerSenior Analyst, Altimeter, a Prophet CompanySenior Fellow, Centre for International Governance Innovation
This talk, based on interviews with leaders from business, academia, and non-governmental organizations, defines issues resulting from the development and deployment of AI, lays out the methodologies being tested and used, and proposes an approach to address them. While this is a highly complex field and no single strategy is appropriate for all industries or companies, this material may be used to better understand the unique implications of AI, begin to socialize them within your business, and build organizational capability to foster both trust and innovation among customers, employees, shareholders, partners, and the general public.
TAKEAWAYSWhy and how AI changes the relationship between people and organizationsThe biggest risks—and opportunities—for business in the age of AIOperating principles, recommendations and best practices for designing innovative, engaging and ethical products, services and brand experiences.
SOURCESThe content is based on a research report entitled “Innovation + Trust: The Foundation of Responsible Artificial Intelligence,” which is based on interviews with leaders in academia, industry and the non-profit community.
Bio: Susan Etlinger is a globally recognized expert in digital strategy, with a focus on artificial intelligence, AI ethics and big data. In addition to her work at Altimeter, Susan is a senior fellow at the Centre for International Governance Innovation, an independent, non-partisan think tank based in Canada.
Susan’s TED talk, “What Do We Do With All This Big Data?" has been translated into 25 languages and has been viewed more than 1.3 million times. Her research is used in university curricula around the world, and she has been quoted in numerous media outlets including The Wall Street Journal, Fast Company, The New York Times and the BBC. Susan holds a Bachelor of Arts in Rhetoric from the University of California at Berkeley.
Combatting Human Trafficking on the Internet and Dark Web Using Artificial IntelligenceTuesday, May 19, 2020
Dr. Joseph P. CampbellMassachusetts Institute of Technology, Lincoln Laboratory
Bio: Dr. Joseph P. Campbell is the leader of the Artificial Intelligence Technology and Systems Group. His group creates algorithms, technologies, and systems for extracting information from multimedia data in adverse conditions and has a rich heritage of world-leading speech, speaker, and language recognition technologies. Dr. Campbell develops human-network AI technologies that extract information automatically from speech, text, image, and video data combined with network communications and activities to help the Department of Defense and law enforcement identify threatening or illicit activity on the surface and dark webs. He specializes in developing and transferring AI technologies for government applications and operationally relevant evaluation. Dr. Campbell has authored more than 100 refereed publications that have been cited over 6,900 times. Before joining MIT LL, he taught at The Johns Hopkins University and worked for the government, where his team developed U.S. Federal and NATO Standards for voice coding that are the foundation of digital cellular telephony systems. He is a Fellow of the Institute of Electrical and Electronics Engineers and earned BS, MS, and PhD degrees in electrical engineering from Rensselaer Polytechnic Institute, The Johns Hopkins University, and Oklahoma State University, respectively.
Applications and Challenges in Artificial Intelligence for National DefenseWednesday, May 20, 2020
Dr. Michael Van LentCEO SoarTech Inc.
Bio: Dr. Michael van Lent leads research and development of artificial intelligence for training and serious games, transitioning research into engineered solutions. Dr. Van Lent received a PhD at the University of Michigan in 2000. Prior to receiving his PhD, he worked at the Navy Center for Applied Research in Artificial Intelligence (NCARAI) at the U.S. Naval Research Laboratory. He joined the Institute for Creative Technologies in 2001, where he became the Associate Director for Games Research and a Research Associate Professor in the Computer Science department at USC. Dr. Van Lent has participated in the design and development of many immersive training applications including Full Spectrum Warrior, Full Spectrum Command, the Joint Fires and Effects Trainer System (JFETS), and ELECT BiLAT. He serves on various editorial boards and edits IEEE Computer’s Entertainment Computing Column.