A Designer's Guide to AI & Machine Learning - Workshop
Event Information
About this Event
This interactive workshop gives participants a deep dive into AI, machine learning, and emerging technology, through the lens of human-centered design. This approach provides individuals & teams a repeatable and scalable toolkit that can be applied to building better AI-enabled solutions.
The program, delivered by the author of the upcoming AI Product Design Handbook, is intended for those involved with bringing disruptive digital products & services to market. Participants will walk away with a set of tools, methods & frameworks focused on applying these technologies to customer and organizational problems.
Objective
Participants will leave the workshop empowered with a deep understanding of AI & machine learning, along with new tools, methods and frameworks for a human-centered approach to these powerful technologies.
Target Audience
UX designers, product managers/directors, product designers
Assumed Audience Knowledge
None assumed
Five Things Audience Members Will Learn
Upon completion of this program, participants will:
- Gain confidence speaking about AI and its use cases (machine learning, deep learning, narrow vs. general)
- Be able to understand design patterns and use cases for AI products, services, and platforms
- Understand AI design & validation methods, such as a confusion matrix, and how to apply them
- Have a toolkit with frameworks for AI-focused ideation and overcoming technical barriers (toolkit includes several canvas tools, ideation deck, and program workbook)
- Understand the ethical and business impacts of data bias on AI & machine learning algorithms
Needed to Participate
Chrome on a desktop or laptop with audio/video capabilities