Thursday, January 29
7:00 pm - 8:00 pm
Registration Required Below
Artificial intelligence is rapidly reshaping the modern world, bringing both new opportunities and complex challenges for today’s workforce.
Dr. Rick Lawrence, a Ph.D. in nuclear engineering with experience in machine learning, will discuss how AI is affecting the U.S. economy and job market, as well as what these changes may mean for the nation’s educational system. Drawing on recent data and research, he will examine how AI is already influencing hiring practices and explore studies suggesting that AI can now outperform industry experts on real-world, economically valuable tasks. During the talk, he will also consider whether the United States can maintain its competitive edge in AI relative to China, and will conclude with a discussion of the economic and financial risks surrounding the perceived AI bubble.
This is a hybrid program that will take place both live at the Library and virtually over Zoom. For a full experience, we recommend attending this program live at the Library.
Scroll to the bottom of the screen to register for the virtual option.
Would you prefer instead to attend the in-person program, at the Library? Click here to register for the in-person program.
About Our Speaker
Dr. Rick Lawrence’s career has evolved from nuclear science to machine learning to quantitative finance to COVID data science. Rick retired from IBM Research in 2016 as Distinguished Research Staff Member and Senior Manager, Machine Learning & Decision Analytics. From 2016 to 2019, he was President of PCIX, Inc, a New York City Venture-Capital-funded quant finance startup and from 2020 to 2022, he developed data science models for the Ridgefield COVID-19 Task Force. Rick received his B.S. from Stanford University in Chemical Engineering and his Ph.D. from the University of Illinois in Nuclear Engineering.
Registration is currently closed for this event.