Master's Series: Future of Work
Daniel Serfaty, APTIMA, Inc.


Working and Learning as Humans in the Age of Artificial Intelligence
Monday, April 9


We are at the dawn of an amazing age. As humans who work and learn every day, we are surrounded by devices and networks that observe and record our working habits, our learning paths, our buying patterns, our leisure preferences, and our social interactions. This information is processed by machines that not only infer from these data and attempt to understand what we do, but continuously learn from it and anticipate what we will need next. These increasingly ubiquitous devices (e.g., robots on the factory floor, smart phones, bots, etc.) are becoming more and more “intelligent” through their ability to learn and adapt. What does this mean for the workforce? Are we ready to move from human-machine interaction to human-machine “teaming”? How is performance assessed and optimized in these hybrid environments? How is this already transforming the very nature of work in some industries? What are we learning from it that we can apply to our own working and learning environments today?



Daniel Serfaty is Principal Founder, Chairman and CEO of Aptima, Inc., a business founded on the principle of Human-Centered Engineering. Aptima has completed over $300 million of Research, Development, & Engineering on the definition, assessment, measurement, and training of competencies and work management that drive human and machine performance for the U.S military, NASA, departments of health and other organizations. His research interests have included the application of rigorous modeling and experimental methods to improve decision-making performance, develop expertise in field settings, and apply systems engineering methods to the design of large-scale organizations. Recently, he has led the launch of a sister company to Aptima—Aptima Ventures—dedicated to the commercialization of Aptima’s intellectual property in human performance in markets such as Healthcare, Educational Technology, Workforce Management, and Social Networks. Daniel Serfaty has undergraduate degrees in Mathematics/Physics, Psychology, and Aeronautical Engineering from the Université de Paris and the Technion, Israel Institute of Technology, an MS in aeronautical engineering (Technion), and a M.B.A. in International Management from the University of Connecticut. His doctoral work at the University of Connecticut pioneered a systematic approach to the analysis of distributed decision-making in dynamic and uncertain environments. He is the recipient of the University of Connecticut Distinguished Service Award and has been inducted into its Engineering Hall of Fame.