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New 3-Day Program!

Generative Artificial Intelligence for Business Leaders

Understand How to Compete in the Age of Generative AI

Developed by University of Washington experts in computer science, business, and law, this interdisciplinary, 3-day program is designed to equip business leaders with a working understanding of GenAI and its potential impact on their roles, teams, firms, and industries.

Watch the video overview to learn more about the program and hear from faculty. 

Register Now

Participants will delve into GenAI’s underlying concepts, applications, ethical considerations, and strategic implications. By taking this course, you will be more prepared to lead organizations, inspire teams, and serve client needs, as you discover how to gain competitive advantage in a world transformed by Generative AI.

Generative AI for Business Leaders is offered by the University of Washington Global Innovation Exchange through an exclusive partnership between the UW’s Paul G. Allen School of Computer Science & Engineering and Michael G. Foster School of Business.

Dates:May 22-24, 2024
Registration deadline:April 12, 2024
Format:In-person
Location:Paul G. Allen Center for Computer Science & Engineering, University of Washington, Seattle
Fee:$3,750
10% discounts for UW alumni and group registrations (3 or more)

Alumni enter code UWALUM at checkout; email gixpro@uw.edu for group discounts

This program assumes no prior technical knowledge. It has been designed for leaders across the organization, including product management, research and development, sales, marketing, talent management, and other strategic functions. 

DOWNLOAD PDF OVERVIEW

Faculty Co-Directors

Luke Zettlemoyer
Professor, Paul G. Allen School of Computer Science & Engineering, University of Washington; Research Director, Meta Platforms, Inc.

Luke Zettlemoyer is a Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, and a Research Director at Meta. He has been teaching advanced AI and ML courses at the University of Washington for over ten years, targeting undergraduate, PhD, and professional masters students. His research focuses on empirical methods for natural language semantics, and involves designing machine learning algorithms, introducing new tasks and datasets, and, most recently, studying how to best train and deploy large language models such as ChatGPT. His honors include being named a Fellow of the Association for Computational Linguistics (ACL), as well as winning a PECASE award from President Obama, an Allen Distinguished Investigator award from Paul Allen, and multiple paper awards at the top NLP and ML conferences. Luke received his PhD from MIT and was a postdoc at the University of Edinburgh.

Ben Hallen
Neal and Jan Dempsey Endowed Professor in Strategy and Entrepreneurship, Michael G. Foster School of Business, University of Washington.

Ben Hallen is the Neal and Jan Dempsey Endowed Professor in Strategy and Entrepreneurship at the Foster School of Business at the University of Washington. A former entrepreneur, his research focuses on the acceleration and scaling of businesses – especially in technology settings. He is currently an associate editor at Strategic Management Journal. For his teaching, he has been named by Poets & Quants as one of “Best 40 Under 40 Professors” amongst global MBA faculty and has received the “Dean’s Award for Excellence in Graduate Teaching” at Foster. At Foster he helped launch the MS in Entrepreneurship and the Creative Destruction Lab course. He earned a BS in Electrical Engineering and a masters in computer science from the University of Virginia, and a PhD in Management Science and Engineering from Stanford University, where he previously served on the advisory board of Stanford Technologies Venture Program.

Faculty Guest Speaker

Ryan Calo
Lane Powell & D. Wayne Gittinger Endowed Professorship, School of Law and Professor, iSchool, University of Washington.

Ryan Calo is the Lane Powell and D. Wayne Gittinger Professor at the University of Washington School of Law. He is a founding co-director of the interdisciplinary UW Tech Policy Lab and a co-founder of the UW Center for an Informed Public. Professor Calo holds a joint appointment at the Information School and an adjunct appointment at the Paul G. Allen School of Computer Science and Engineering. Professor Calo has testified three times before the United States Senate and organized events on behalf of the National Science Foundation, the National Academy of Sciences, and the Obama White House.

Faculty Advisor

Shwetak N. Patel
Washington Research Foundation Entrepreneurship Endowed Professor in Computer Science & Engineering and Electrical and Computer Engineering, University of Washington.

Shwetak Patel is currently the Washington Research Foundation Entrepreneurship Endowed Professor in the Paul G. Allen School of Computer Science & Engineering and the Department of Electrical & Computer Engineering at the University of Washington, where he directs the Ubicomp Lab. Concurrently, he also leads Health Technologies at Google as a Distinguished Scientist. His research is in the areas of Human-Computer Interaction, Ubiquitous Computing, and Sensor-Enabled Embedded Systems, and AI with a particular emphasis on the application of computing to health, sustainability, and interaction. Shwetak received his Ph.D. in Computer Science from Georgia Tech in 2008. He is a recipient of a MacArthur “Genius” Fellowship, Sloan Fellowship, Microsoft Research Faculty Fellowship, MIT TR-35 Award, World Economic Forum Young Global Scientist Award, NSF Career Award, Presidential PECASE award, and the ACM Prize in Computing. Shwetak was a co-founder of an home energy monitoring company called Zensi (acquired by Belkin in 2010), a low-power home wireless sensing company called SNUPI Technologies (acquired by Sears in 2015), and a mobile health company called Senosis Health (acquired by Google in 2017).

Day 1 (May 22): Executive Introduction to the Technology 


Understand the background, history, and context of GenAI. Learn how large language models (LLMs) work, what they can do, and their limitations. Guided hands-on activities may include practicing how to work with publicly available models for your business problems. Throughout the day, lessons from the technology revolutions of the past will be used to understand GenAI’s evolution to date and the potential ahead.

Day 2 (May 23): Impact on Business: Building Strategic Advantages through GenAI


Explore how GenAI may transform, accelerate, and impact the business landscape. Learn what lessons the technologies of the past offer for how GenAI’s use is likely to evolve at the individual, team, firm, and industry levels.  Examine how this is likely to reshape competitive advantages and how to begin building your GenAI capability. Exercises throughout the day will explore how to begin using GenAI today, without coding, to address common business opportunities. 

Day 3 (May 24): Legal and Ethical Implications and Future of GenAI


Learn about the cutting edge of legal and ethical topics for GenAI including:  copyright, privacy, liability and risk management. Reflect on how these are relevant to your business and how to plan a process that addresses these issues.  A panel discussion with academic and industry thought leaders will lead the group in considering emerging applications and potential downstream implications.
This program is designed for business and team leaders from any industry who are interested in expanding their understanding of Generative Artificial Intelligence (GenAI) and its revolutionary impact on careers, organizations, businesses, and society.

Ideal candidates for the program include:
 
  • Decision-makers, leaders, and individual contributors at established companies and startups who want to enhance their practical understanding of the applications and implications of GenAI – for themselves and for their organizations
  • Individuals in roles across the enterprise, including product management, research and development, information technology, marketing, operations, and talent management, who want to learn how to deploy GenAI to unlock new sources of growth and value
  • Policymakers developing strategy and policy to address the ethical and societal implications of GenAI, including its privacy and security considerations
  • Institutional and individual investors who want to expand their knowledge about GenAI as a technology and its potential as a catalyst for business growth and opportunity
NOTE: This program assumes no prior technical knowledge and is targeted for generalists across the organization, including product development, sales, marketing, talent management, supply chain, and corporate strategy.
 

This three-day, in-person program will demystify Generative AI technology, explore its practical applications for your business and career, and examine its powerful implications for people, organizations, and society. Jointly developed by leading experts in computer science, business, and law from the University of Washington, this course provides you with a uniquely integrated perspective, giving you practical and strategic insights into GenAI’s potential rewards – and risks.

Through expert-led interactive discussions and hands-on learning experiences you will gain a working knowledge of GenAI technology, an understanding where it is headed, and actionable frameworks for discerning its potential impact on work and competition. Exercises throughout will give you a toolkit for how to put GenAI into practice in ways that will accelerate individual and firm competitive advantage.

Through this course you will learn to:

  • Build a foundational knowledge about GenAI, how it works, its limitations, and how it might transform your business and your way of working
  • Become an advocate for and drive the integration of GenAI in your organization
  • Assess the benefits and risks of GenAI including its human, legal, and ethical complexities
  • Develop a framework about emerging future trends in GenAI from industry experts, researchers, and practitioners

Location

This is an in-person program and all class sessions will take place at the Paul. G. Allen Center for Computer Science & Engineering.

Bill & Melinda Gates Commons (6th floor, CSE 691)
Paul G. Allen Center for Computer Science & Engineering
University of Washington
185 E Stevens Way NE, Seattle, WA 98195

Directions and Parking

Please click here for information about directions, access, and parking. 

Disability Accommodation

The University is committed to providing access, equal opportunity, and reasonable accommodation in its services, programs, activities, education, and employment for individuals with disabilities. Please see this reference about submitting accommodation requests.

Class Materials

You will be contacted by the program manager via email and provided with materials to read prior to the start of the program.

Program content, dates, schedule, fees, technology platforms, and faculty are subject to change. In accordance with University of Washington policy, we do not discriminate against any person on the basis of race, color, sex or sexual orientation, gender identity, religion, age, national or ethnic origin, political beliefs, veteran status, or disability in admission to, access to, treatment in, or employment in its programs and activities.
DOWNLOAD OVERVIEW

We accept enrollments for this program on a rolling, space-available basis, and we encourage you to register as early as possible. Capacity is highly limited.

Program Dates

May 22-24, 2024

Fee

$3,750

10% discounts are available for UW alumni and group registrations. Individuals and teams from the same organization are welcome to attend. Participation by groups encourages teamwork and amplifies the collective impact of the learning. Program fee covers tuition, teaching materials, as well as a light breakfast and lunch during all three program days.

Registration Deadline

12 April 2024

Registrations submitted after the due date will be considered on an individual basis and may not be processed in time to grant admission.

Payment and Cancellations

Payment is due at the time of registration. If you need to cancel or defer your participation, you must submit your request in writing more than 30 days before the start of the program to receive a full refund. Cancellation or deferral requests received 14 to 30 days prior to the start of the program are subject to a fee of one-half of the program fee. Requests received within 14 days are subject to full payment.

Custom Programs

Generative AI for Business Leaders can be customized to meet the learning needs of a single company or organization. This can include on-site delivery and the addition project-based learning modules and other content unique to a particular professional context. For more information, please contact us at: gixpro@uw.edu or call (206) 897-9012.

Contact Us

This program is offered by the University of Washington Global Innovation Exchange through an exclusive partnership between the UW’s Paul G. Allen School of Computer Science & Engineering and Michael G. Foster School of Business.

Email us at gixpro@uw.edu or call (206) 897-9012 with any questions.