We are pleased to announce a new Stanford GSB Alumni Education Program, a weekend residential executive course on artificial intelligence.
Led by Paul Oyer, The Mary and Rankine Van Anda Entrepreneurial Professor and Professor of Economics.
Artificial Intelligence is rapidly shaping the future of industry, government, and society. Harnessing AI for Innovation and Impact for Stanford GSB alumni will help you explore the power and potential of this transformative technology, what it means for your organization, and how to leverage it to gain a competitive edge. This interdisciplinary and experiential AI program, will demystify AI technologies and provide strategies and frameworks to help your organization innovate and take the lead.
- Gain a better understanding of AI technologies, current uses, and strategic applications for your own organization
- Discover how AI is being used to improve efficiencies, cut costs, provide customer insights, and generate new product ideas
- Strategize on how to thoughtfully harness AI tools, weighing the ethical, legal, workforce, and social implications
Preview of Selected Sessions
The Future of the Workplace: Demographics, Robots, and Other Disruptions. Professor Paul Oyer.
Autonomy Application. Explores issues related to building robust decision-making systems that are challenging, especially for safety-critical systems such as unmanned aircraft and driverless cars. Professor Mykel J. Kochenderfer.
Training Artificial Intelligence to Understand Humans. A growing proportion of human activities such as social interactions, entertainment, shopping, and gathering information are now mediated by digital devices and services. This session covers how to reap the benefits of Big Data assessment while avoiding the pitfalls. Professor Michal Kosinski.
Natural Language Processing Overview. Explores why human language understanding is hard, what types of technologies are used to approach this problem, what some of the major business applications of natural language processing are, and the need for language technologies in a very multilingual world. Professor Chris Manning.
The Computational Brain Behind Autonomous Vehicles. An overview of the main computational techniques for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. The session includes discussion of progress to date as well as the main technological hurdles to deploy with confidence this new wave of robotic systems. Professor Marco Pavone.
This program is designed as an in-residence program that features in-class participation and discussion among faculty and GSB alumni. We will not be livestreaming or recording the course.