What You'll Gain

By the end of this course, you’ll have concrete tools and outputs you can immediately apply to your work.

01
Identify the types of AI errors and harms

02
Recognize the five common AI harm patterns

03
Use the consequence scanning framework to think through an AI product's positive impact and identify any negative impacts that might be prevented

Course curriculum

Expand each section for a preview of our training content.

    1. Welcome & Course Structure Details

    2. Meet Your Instructors: Kerry Bodine & Dan Saffer

    1. Types of AI Errors & Harms (Video)

    2. 5 Common AI Harm Patterns (Video)

    3. AI Errors & Harms

    4. Reference: AI Harms In The News

    5. Consequence Scanning (Video)

    6. Reference: Consequence Scanning

    7. Reference: The AI Incident Database

    8. Exercises In This Course: High Level Introduction

    9. Exercise Part 1: Consequence Scanning

    10. Exercise Part 2: Mitigation & Amplification

About this course

  • 12 lessons
  • 4 Focused video tutorials
  • 2 Actionable tools and templates

"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

Kerry and Dan delivered. I learned a methodology that mitigates the risks so often inherent in AI projects, delivers meaningful value to organizations, and keeps user needs at the core of my work. Highly recommend.

Dionne

Designer

The frameworks taught were immediately applicable to my work, and Kerry and Dan provided practical tips that directly addressed our concerns. The course struck the perfect balance with weekly content review and interactive sessions that kept our cohort consistently engaged.

Sean

Product Designer

Good strategies and frameworks that are useful for thinking through valuable AI features or products, rather than just following the hype. The course covered practical approaches to identifying where AI can genuinely add value through the capabilities it possesses. Overall, it provided a more thoughtful approach to AI ideas that work.

Taught By Our Experts

Kerry Bodine

CEO

Kerry Bodine’s book, Outside In: The Power of Putting Customers at the Center of Your Business, helps leaders understand the financial benefits of great customer experiences — and how to deliver them. In 2014, she founded Bodine & Co., a consulting firm that blends human-centered design with AI strategy to help organizations innovate and adapt. She’s a sought-after keynote speaker at conferences and corporate events worldwide, inspiring leaders to see change as an opportunity to deepen the value they provide. Kerry’s insights have been featured in The Wall Street Journal, Harvard Business Review, Fast Company, Forbes, and USA Today. She holds a master’s degree in human-computer interaction from Carnegie Mellon University.

Dan Saffer

Assistant Professor of the Practice at the Human-Computer Interaction Institute at Carnegie Mellon University

Dan Saffer is an Assistant Professor of the Practice at the Human-Computer Interaction Institute at Carnegie Mellon University, a product design leader, and the author of four books: Designing Devices (2011), Designing Gestural Interfaces (2008), Designing for Interaction (2006, 2009) and the best-selling Microinteractions (2013). Since 1995, he's designed devices, apps, websites, wearables, appliances, automotive interiors, services, social networks, and robots. He’s worked at and for such companies as Twitter, Smart Design, Samsung, Jawbone, CNN, Philips, and Microsoft — and was most recently Head of Product Design at Flipboard. He graduated from Carnegie Mellon with a Master’s in Design, Interaction Design.

Prior to this course, you should have general knowledge of:

01
How to generate feasible AI concepts for your users/business

02
The capabilities of AI (What it can and cannot do)

Flexible options for individuals and teams.

Individuals

Get immediate access — start learning today!
 
 

$ 129

  • One time payment.
  • Watch 24/7. Anywhere. Anytime
  • Instant access to the full course
  • Access to templates and tools
  • Certificate of completion

Teams & Organizations

Equip your team with shared frameworks for evaluating and developing AI initiatives.

Inquire

  • Team enrollment and seat management
  • Admin dashboard and reporting
  • Progress tracking across learners
  • Shared frameworks for evaluating AI initiatives

For your security, all orders are processed on a secured server.

Frequently Asked Questions

If you have additional questions or would like to enroll your team — contact us here! 

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.