William S. Floyd Distinguished Chair of Engineering, UC Berkeley
Ken Goldberg is an artist, inventor, and UC Berkeley Professor focusing on robotics. He was appointed the William S. Floyd Jr Distinguished Chair in Engineering and serves as Chair of the Industrial Engineering and Operations Research Department. He has secondary appointments in EECS, Art Practice, the School of Information, and Radiation Oncology at the UCSF Medical School. Ken is Director of the CITRIS "People and Robots" Initiative and the UC Berkeley AUTOLAB where he and his students pursue research in machine learning for robotics and automation in warehouses, homes, and operating rooms. Ken developed the first provably complete algorithms for part feeding and part fixturing and the first robot on the Internet. Despite agonizingly slow progress, he persists in trying to make robots less clumsy. He has over 250 peer-reviewed publications and 8 U.S. Patents. He co-founded and served as Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering. Ken's artwork has appeared in 70 exhibits including the Whitney Biennial and films he has co-written have been selected for Sundance and nominated for an Emmy Award. Ken was awarded the NSF PECASE (Presidential Faculty Fellowship) from President Bill Clinton in 1995, elected IEEE Fellow in 2005 and selected by the IEEE Robotics and Automation Society for the George Saridis Leadership Award in 2016.
Keynote Title: Musk vs. Zuck: Are AI and Robots a Threat...or an Opportunity?
Abstract: Artificial Intelligence (AI) has surpassed humans at Jeopardy and Go, and driverless cars are widely believed to be around the corner. News articles claim we’re on the brink of a "Singularity" where robots will steal 50% of our jobs. Are AI and Robots an existential threat to humans as Elon Musk warns? Or is Mark Zuckerberg right in stating that humans have many good years ahead? "Automation Anxiety" has a long history, with widespread pronouncements about the imminent loss of jobs to Automation in the 1950s, 1960s, and 1980s. Drawing on his experience as a robotics and AI research expert, Goldberg explores these issues in three parts: 1) What Isn’t New, 2) What Is New, and 3), How We Can Prepare. Ultimately, Goldberg reveals how new innovations will empower humans, not replace them, revealing the potential for new trends such as "Cloud Robotics", and "Multiplicity".