INTRO TO AI PRODUCT DESIGN

Today marks the beginning of your AI career. You’ll get introduced to your capstone project which consists of a product brief, a presentation slide and a prototype.

• Instructor introduction
• Your Myers Brigg personality & thinking style
• AI career development brief: Gain AI knowledge & use AI for better innovation
• Course objectives, expectations & flow
• Capstone project 
• Q&A

In this class, you’ll explore how AI enhances human capabilities in design and business. We'll dive into the state of AI, the evolving role of design in AI, and key frameworks for successful AI product development.

• Overview of the AI Landscape and Technological Advancements
• The Golden Rule Framework and Its Application in AI Product Development
• Introduction to the AI Product Development Lifecycle
• Preview of AI Technology Literacy

This session will introduce you to the core principles of intelligent systems and machine learning. You’ll learn the differences between rule-based and example-based approaches and discover the basics of supervised and unsupervised learning models.

• Introduction to AI
• The Golden Rule Deep Dive: Key Approaches to Building AI
• AI Capability. Prediction
• Case study: C3 and Its Predictive Capabilities
• AI Capability. Segmentation
• Demo: Google’s Infinite Drum Machine

In this class, you’ll explore neural network architecture, product design applications, and the potential of Generative AI. We’ll also dive into Recurrent Neural Networks (RNN), Natural Language Processing (NLP), and Large Language Models (LLM).

• AI capability. Natural Language Processing
• Case Study: Alexa
• AI capability. Computer Vision
• Demo: Google Teachable Machine
• AI capability. Content Generation 
• Case Study: Otter.AI
• AI capability. AI Agent
• Demo: ChatGPT Operator
• UX Tech Radar: Emotional Inference

Learn how to set up an AI product for long-term success by understanding key factors like KPIs, lifecycle management, and aligning business needs with AI capabilities.

• Revisit the AI Product Development Lifecycle with a Focus on Success Factors
• AI Product KPIs and their Importance in Product Strategy
• Case study: Gartner’s AI Business Use Case Prism
• Overview of the Capstone Project and Selecting a High-Commercial Potential Use Case
• Workshop: Industry-Specific AI Product Potential & Constraints

Assignment 1: Identify a Use Case for High Commercial AI Product Potential
Choose an AI business use case to kickstart your AI product design career. Identify 3-5 real-world products in that area to serve as role models (both good and bad). Apply your AI knowledge to analyze the use case and examples, listing user benefits and implications.

This lesson will cover human-centered AI design and how it contrasts with traditional design approaches. We’ll discuss AI augmentation in areas like productivity, learning, and creativity, and explore how to apply these concepts in real-world scenarios.

• Human-Centered AI vs. Human-Centered Design
• AI Augmentation: Improving Productivity, Learning, and Creativity
• Case studies: Real-world AI Augmentation Examples
• Workshop: Identifying Problem Spaces Where AI Adds Value

Assignment 2: Solidify Problem Space
Just because AI can do something doesn't mean it's about creating technology for the sake of technology. Like everything with AI product design, correctly identifying users and use cases is complex.

In this lesson, you’ll learn how to ensure trustworthiness in AI design through ethical considerations, fairness, and inclusivity. We’ll also focus on the human-AI relationship and how to anticipate and manage AI risks.

• Trust & AI Product: The Impact of Trust, Fairness, and Inclusivity in AI Products
• Ethical Design and the Human-AI Relationship
• Case study: The EU AI Act and Its Implications for AI Product Design
• Workshop: AI Risk Anticipation: Safeguards from the Start

After Lesson Optional Bonus: 

• Video Demo: Use Advanced AI Tool To Research Potential Data Sources

Assignment 3: Mitigate Early. Identify Risks and Develop Strategies
Take a fresh look at your project and identify any potential risks you see that could arise. By “risk” we mean anything that could have a potential negative impact in the product development process that could affect users or any other stakeholders, including the company itself. 

This class will explore how to create multi-modal AI experiences that offer users flexible and meaningful interactions across various platforms and devices. You’ll learn to apply multi-modal AI in both company-level and product-level designs.

• Modality: Concept Definition & Previous Uses 
• The Evolution of AI Multi-Modalities Before and After ChatGPT
• Applying Multi-Modal AI at the Company and Product Level
• Workshop: Designing AI Multi-Modal Experiences

Assignment 4: Design for Impact. Prototype a Multi-modal Experience in the AI Era
In the dawn of the AI era, as users interact with both AI and non-AI products in their workflow, it’s critical to set clear expectations for what they can expect from your AI product.

This lesson will focus on decision-making augmentation in AI products. You’ll learn how to design touchpoints that allow users to interact intelligently with AI systems and collaborate effectively.

• Decision-Making Augmentation & AI Product Touchpoints
• The four levels of control in human-AI collaboration: HITL, HOTL, HITLFE, and HOOTL
• Case studies on touchpoint design for human-AI collaboration
• Workshop: Empowering Users Through Precision in Touchpoint Design

Assignment 5: Detailed Design for Productive and Context-Appropriate Human-AI Collaboration
Focus on at least one flow in your AI product to prototype in detail. Continue refining the touchpoints using the modalities knowledge from Lesson 07 and incorporate the decision-making augmentation insights you just acquired in Lesson 08.

Learn how to balance effectiveness, trust, and affordability in AI solutions. This class will cover trade-offs between value and cost, and you’ll explore real-world case studies of affordable and trusted AI products.

• Guardrail Design to Ensure Trustworthy AI Outputs
• The Trade-Offs: Value Yield vs. Effort, Affordable CX/UX vs. Model Selection
• Case study: Effective and Affordable AI User Experiences
• Workshop: Designing Guardrails for Trustworthy Data Post-Processing

Assignment 6: Safeguarding Outputs: Guardrail Design in the Data Post-Processing Phase
Based on the problem identified with the selected user group in Assignment 2 and the risks identified in Assignment 3, this exercise is about prioritizing potential guardrails. 

Explore UX research and lean experimentation methods to test hypotheses and refine AI product prototypes. This session will teach you how to apply iterative testing to improve AI product designs.

• UX Research in the AI Era: Reality vs. Current Practice
• Lean Experimentation in AI Products: Testing Hypotheses and Refining Designs
• Workshop: Lean Experiment in AI Products

Learn how to foster adoption and ensure your AI product aligns with market needs. This class will provide insights into job market readiness and how AI impacts the UX landscape.

• Review of Nuances Throughout the AI Product Lifecycle
• The Role of Design in Fostering Adoption
• AI’s Impact on UX and Career Readiness in the AI Industry
• Personal Monopoly Framework and Preparing for the Job Market

This class will teach you how to present and collaborate on high-profile AI projects, with a focus on communication strategies and navigating uncertainty in AI initiatives.

• AI impact on UX: AI Communication Scenarios and their Role in Design Reviews
• AI Product Collaboration and Team Alignment
• Workshop: AI Communication Scenario Simulation 
• Unrecorded Office Hour: Sharing Insights from Early-Stage AI Projects

Present your final capstone project to your instructor and peers. This session will provide feedback and help refine your AI product design skills.

• Five Featured Presentations
• Avril’s Review Notes
• Q&A

Learn how to continue building your career in AI product design with advice from a guest speaker and the course instructor. This class will provide resources for lifelong learning and career growth in the AI field.

• AI Expert Guest Speaker Sharing Insights on the Future of AI and Career Outlook
• Preparing for Success in AI Product Design and Ongoing Professional Development
• Closing Ceremony and Next Steps After the Course