IBM Design for AI
Overview
IBM’s comprehensive framework for designing AI-powered experiences, built on IBM’s Principles for the AI Era. Provides ethics guidelines, design patterns, and practical tools for building trustworthy AI products.
Core Framework
AI Essentials Framework (Five Focal Areas):
- Intent: Align business and user goals
- Data: Document data sources and limitations
- Understanding: Define what the AI needs to learn
- Reasoning: Establish how AI reaches conclusions
- Knowledge: Determine how AI shares insights
Pillars of Trust:
- Explainability: Users understand AI decisions
- Fairness: AI assists choices more equitably
- Robustness: Systems are secure and reliable
- Transparency: Disclosure reinforces trust
- Privacy: Consumer data rights protected
Everyday Ethics for AI
Five focal areas for ethical AI foundation:
- Accountability: Defined roles and responsibilities
- Value Alignment: Match AI behavior to human values
- Explainability: Make AI reasoning accessible
- Fairness: Detect and mitigate bias
- User Data Rights: Protect privacy and consent
Strategic Value for heyMHK
Practical enterprise framework for AI governance. Useful reference for translating abstract ethics principles into actionable design requirements.
Related: 07-molecule—ui-as-ultimate-guardrail, 01-atom—human-in-the-loop, 01-molecule—appropriate-reliance-framework