Explore AI technologies, discover strategies and frameworks to gain a competitive edge, and evaluate ethical and social implications.
Artificial Intelligence is taking the world by storm, impacting everything from driving and diagnosing diseases to shopping, recruiting, and manufacturing. Harnessing AI for Breakthrough Innovation and Strategic Impact provides a truly interdisciplinary curriculum, exploring how this transformative technology is influencing business and society … and how you can leverage it most effectively to compete and succeed.
The rigorous and relevant curriculum, taught by faculty members from Stanford GSB, Engineering, Law School, Medical School, and School of Humanities and Sciences, examines how technological implications intersect with business objectives and opportunities.
Over the course of this one-week AI program, you will learn from faculty, guest speakers, and each other.
- Gain an understanding of key AI technologies — machine learning, perception, natural language processing, and autonomous systems.
- Discover who and how organizations are using these technologies.
- Explore and weigh the ethical, legal, economic, and social implications of AI.
- Use design thinking methodology to develop potential AI applications for your organization.
- Capture your learnings at the end of each day to review key takeaways and apply them to your organization.
Below are just a few of the sessions you’ll attend as part of the program.
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. Such digitally mediated activities can be easily recorded, offering an unprecedented opportunity to study and measure intimate psycho-demographic traits using actual — rather than self-reported — behavior. Our research shows that digital records of behavior, such as samples of text, Tweets, Facebook Likes, web-browsing logs, or even facial images can be used to accurately measure a wide range of traits including personality, intelligence, and political views. Such Big Data assessment has a number of advantages: it does not require participants’ active involvement; it can be easily and inexpensively applied to large populations; and it is relatively immune to cheating or misrepresentation. If used ethically, it could revolutionize psychological assessment, marketing, recruitment, insurance, and many other industries. In the wrong hands, however, such methods pose significant privacy risks. In this session, we will discuss how to reap the benefits of Big Data assessment while avoiding the pitfalls.
Verification and Validation of Autonomous Systems
Autonomous systems, such as those for driving cars and flying aircraft, must be prepared to make appropriate decisions in a wide variety of circumstances. Building robust systems is challenging due to imperfect sensor information, uncertainty in the behavior of other human operators, and the delicate balance between safety and operational suitability. The space of possible edge cases that designers must reason about is vast. We will discuss an alternative approach to building robust autonomous systems and outline how this methodology has been applied to develop the next generation collision avoidance system that was recently standardized for use on aircraft around the world. We will discuss the process of verification and validation of autonomous systems to establish trust in their correct operation.
The Future of the Workplace: Demographics, Robots, and Other Disruptions
The only thing predictable about the future of work is that there will be lots of change. One day you read that there is a looming labor shortage as the population ages, the next you read that mass unemployment is right around the corner due to the advent of robots and other artificial intelligence. In this session, we will look at trends in the labor market and the future of work. We will consider how demographic changes present business and labor market opportunities, as well as challenges. Will the robots really come and, if so, what are the managerial implications for today’s employers? We will discuss how the answers to these and related questions varies dramatically by labor market and with what level of skill your company needs.