Design Thinking for AI + Machine Learning – Methods and practices for creating human-centred AI products, services, and platforms in the public sector.

Design thinking offers a repeatable and scalable methodology for ensuring that products, services, and platforms create meaningful value for end-users. This program introduces Design Thinking through the lens of AI and machine learning to teach frameworks, tools, and best practices for creating more impactful AI-driven solutions.

This workshop is highly interactive and will challenge attendees to think critically about how AI and machine learning are used in the public sector.

Hosted virtually over two half-day sessions, participants can expect to walk away with a comprehensive understanding of how AI and machine learning work. A wide range of use-cases relevant to the public sector will be covered, including:
• Recommendation Engines
• Experience Personalization
• Predictive Analytics
• Conversational/Voice Interfaces
• Process Automation

From there, participants will explore the fundamentals of design thinking – adapted to AI and machine learning. Participants will gain hands-on experience with unique methods and exercises that can be used to ensure that products and services meet end-users, clients, and citizens’ needs. Some of these methods include:
• AI Specific Ideation Methods
• Tools to Spot Machine Learning Opportunities
• Confusion Matrices for Validation
• Rapid Prototyping for Chat/Voice Interfaces