Design Thinking for AI & Machine Learning: Methods & Best Practices for Building Citizen-Centered AI-enabled Services & Solutions (2/3)

07/11/2019 13.30 - 14.10

Workshop Track DHorticulture Purple stageWorkshop

This interactive workshop gives participants a deep dive into AI, machine learning, and related emerging technologies, through the lens of Design Thinking. The Design Thinking approach provides individuals & teams a unique, repeatable and scalable approach that can be applied to building better AI-enabled solutions.

Participants will walk away with a set of practical tools, methods & frameworks focused on applying these technologies to customer and organizational problems. The workshop is closely aligned with the Canadian federal guiding principles on the responsible use of AI in government.

Detailed learning outcomes:

  • Upon completion of this hands-on workshop, participants will:
    Have confidence in speaking about AI and its use cases (machine learning, deep learning, narrow vs. general AI)
  • Be able to breakdown common myths and misunderstandings about AI and the types of use cases that are best-suited to be solved with AI
  • Gain an understanding of how automation vs. augmentation use cases differ
  • Understand AI design tools, such as a confusion matrix, and how to apply them
  • Be comfortable in working through a structured approach to evaluating new technology and the implications on people, processes and an organization as a whole
  • Have an appreciation for the ethical considerations associated with the use of any data-driven technologies, such as AI & ML
  • Understand the impact of data bias on AI & machine learning algorithms
  • Be comfortable applying an AI ethics framework (such as the Canadian federal government guiding principles) to a scenario or use case
Ramy Nassar
Founder1000 Days Out
Rebecca Kain
Sr. ConsultantQuarry