Kerry Bodine
CEO
By the end of this course, you’ll have concrete tools and outputs you can immediately apply to your work.
Expand each section for a preview of our training content.
Welcome & Course Structure Details
Meet Your Instructors: Kerry Bodine & Dan Saffer
Types of AI Errors & Harms (Video)
5 Common AI Harm Patterns (Video)
AI Errors & Harms
Reference: AI Harms In The News
Consequence Scanning (Video)
Reference: Consequence Scanning
Reference: The AI Incident Database
Exercises In This Course: High Level Introduction
Exercise Part 1: Consequence Scanning
Exercise Part 2: Mitigation & Amplification
"The course frameworks balance business impact, user value, and AI feasibility to create well-rounded AI solutions. Highly recommend it!"
Manqian Qian
Product Designer
Erin Eisinger
Founder & CEO
Dionne
Designer
Sean
Product Designer
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Equip your team with shared frameworks for evaluating and developing AI initiatives.
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No! This is for those who want to understand how AI can create value in their organization. We focus on practical frameworks and decision-making, not coding or technical implementation.
This course is ideal for those responsible for product strategy, innovation, customer experience, design, and digital transformation. Many participants come from product, UX, research, and leadership roles.
Most AI training focuses on the technology itself. This course focuses on how organizations actually decide what AI to build and how to design AI experiences responsibly.
You will learn research-backed frameworks and practical methods that you and/or your team can apply immediately.
We cover practical approaches for identifying ethical, operational, and user risks when designing AI-powered products and services. The goal is to help teams create AI solutions that support users, align with business goals, and avoid the kinds of failures documented in the AI Incident Database.
Yes! Many organizations bring teams so they can build a shared understanding of how AI fits into their work. If you take the course as a team, you’ll leave with:
A shared understanding of AI capabilities and limitations
Frameworks for identifying and evaluating AI opportunities
A prioritized set of AI concepts relevant to your organization
Practical approaches for designing AI-driven interfaces
Many organizations bring cross-functional teams so they can establish a shared approach to identifying and designing AI initiatives together.