Bridging the Gap Between AI and UI

Overview

Explore methods for understanding AI model predictions and their input features, with a focus on RNN in NLP. Learn novel ideas for incorporating visualizations to enhance user experience and retention.

Syllabus

• Introduction to AI and UI
Overview of Artificial Intelligence (AI)
User Interface (UI) basics
Importance of integrating AI with UI
• Understanding AI Model Predictions
Basics of AI model predictions
Role of interpretability in AI
Challenges in interpreting model outcomes
• Focus on Recurrent Neural Networks (RNN)
Introduction to RNNs
Applications of RNN in Natural Language Processing (NLP)
Strengths and limitations of RNNs
• Input Features in AI Models
Identifying and selecting input features
Feature importance and its impacts on predictions
Techniques for feature analysis in RNNs
• Visualization Techniques for Enhancing UI
Basics of data visualization
Designing effective visualizations for AI models
Tools and libraries for visualization (e.g., TensorBoard, Plotly)
• Bridging the Gap: Merging AI Insights with UI Design
Strategies for integrating model insights into UI
Case studies on effective AI-UI integration
User-centered design approaches for AI applications
• Workshop: Creating Visualizations for AI Predictions
Hands-on practice with visualization tools
Crafting visual stories from AI model outputs
Feedback and optimization of visualization designs
• Evaluating User Experience and Retention
Methods for assessing user interaction with AI-driven UIs
Metrics and analysis for user experience
Techniques for improving user retention through enhanced UI
• Novel Ideas and Future Directions
Emerging trends in AI and UI design
Innovations in visualizing AI models
Future research directions in AI-UI integration
• Conclusion and Course Wrap-Up
Key takeaways from the course
Practical applications and next steps
Q&A and participant feedback
• Final Project Presentation
Presentation of participant projects
Group discussions and critiques
Exploration of continued learning opportunities in AI and UI design

Subjects

Conference Talks