AI Prototypes: Designing Trustworthy Smart Interfaces
Exploring prototyping for AI โ from uncertainty and trust to ethical, human-centered systems.
The Challenge
Prototyping for AI is fundamentally different from traditional UX design. Users need to understand and trust AI decisions, but traditional prototyping methods don't capture the uncertainty, variability, and adaptive nature of intelligent systems.
The gap: Traditional UX prototyping assumes predictable interactions, while AI introduces dynamic responses that require new approaches to design and testing.
๐ฅ Interactive Health Assistant Prototype
Explore the live Health Assistant prototype showcasing AI-powered medical interface design, user interaction patterns, and trustworthy healthcare AI elements.
Medical Interface
Healthcare-specific UI patterns
AI Assistant
Intelligent health recommendations
Trust & Safety
Medical accuracy safeguards
๐ก Designed with medical ethics and user safety as core principles
Design Process
Our human-centered approach to AI prototyping
Research & Discovery
Studied AI outputs and user expectations, emphasized transparency mechanisms to build trust in intelligent systems.
Wireframes & User Flows
Created low-fidelity screens showing AI-driven journeys, mapping out decision points and feedback loops.
Wizard of Oz Testing
Simulated AI responses manually for rapid iteration, testing user reactions before building complex systems.
Core Design Principles
Building trust through transparency, control, and ethical considerations
Feedback Loops
Show AI confidence scores and reasoning to help users understand system decisions.
Human Override
Allow users to correct or ignore AI suggestions, maintaining user agency and control.
Ethics First
Address bias, privacy, and explainability from the ground up in every design decision.
Key Hypothesis & Outcomes
๐ The Trust Formula
By making AI decisions transparent and giving users control, we can build systems that users actually trust and want to use.
Skills & Methodologies
Human-centered approaches to AI design and prototyping