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Trustworthy & Reliable AI

Error Recovery & Graceful Degradation

Fail gracefully with clear recovery paths when things go wrong.

What is Error Recovery & Graceful Degradation?

Error Recovery & Graceful Degradation ensures systems fail gracefully with clear recovery paths instead of confusing errors. Instead of cryptic messages, the AI acknowledges limitations, explains issues, and offers next steps. It's critical for maintaining trust in production systems where failures have consequences. Examples include ChatGPT admitting uncertainty, Google Translate offering alternatives, or voice assistants suggesting different approaches when misunderstanding.

Example: ChatGPT Capacity Error Recovery

ChatGPT displaying service capacity error with clear recovery options

When servers are overloaded, ChatGPT displays clear 'at capacity' messages with options to retry, explaining the issue without losing user context. Users can wait and retry or upgrade to ChatGPT Plus for priority access during high-demand periods.

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Explainable AI (XAI)

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Design an explainable AI interface that makes decision-making transparent: Create a decision explanation card showing: 1. **Decision Output**: The AI's conclusion or recommendation prominently displayed 2. **Confidence Score**: Visual indicator (progress bar/percentage) showing certainty level 3. **Key Factors**: Top 3-5 factors that influenced the decision with visual weights 4. **Data Sources**: Citations or references to where information came from 5. **Alternative Options**: Other options considered with brief explanations Use visual hierarchy to show the most important factors first. Include an option to "See detailed explanation" for users who want deeper insights.

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Responsible AI Design

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Design a responsible AI decision interface similar to LinkedIn's AI-powered recommendations or Microsoft's Responsible AI dashboard. Show an AI recommendation card with transparency layers. Include: main decision/recommendation display, expandable 'How this was decided' section showing key factors with visual weights, bias detection indicator (color-coded badge), data source attribution, user control panel with override and feedback buttons, and audit trail timeline. Style: Professional, trustworthy, high-contrast for accessibility. Use blues/greens for trust, clear typography, WCAG AAA compliant. Platform: Web application, responsive design.

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Safe Exploration

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Design a safe exploration interface similar to Figma's branching or Google Docs version history, allowing users to experiment without risk. Show a sandbox environment with safety indicators. Include: main workspace with clear 'Safe Mode' or 'Sandbox' indicator badge, preview area showing results of experimental actions, undo/redo controls prominently displayed, 'Save to Real' or 'Apply Changes' button (disabled by default), comparison view showing before/after or current vs experimental, and safety guardrails (warnings for risky actions, confirmation dialogs). Style: Playful yet safe. Use sandbox/lab imagery, clear boundaries between safe/live areas. Green for safe zone, amber for boundary warnings. Platform: Web application, responsive.

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