Add automated AI-generated issue detection system

[Copilot]

Summary

Implements automated detection of potentially AI-generated issues using 8 pattern matchers (future dates, excessive formatting, generic AI phrases, etc.). Issues scoring ≥3/8 patterns are flagged with potential-ai-generated label and receive educational comment linking to contribution guidelines.

Implementation

GitHub Actions Workflow (.github/workflows/ai-issue-detector.yml)

• Triggers on issues: [opened, edited]
• Analyzes issue body for AI-generation patterns:
  • Future dates/versions (2026+, K8s 1.33+)
  • Structural markers (5+ tables, 8+ headers)
  • AI phraseology ("Root Cause Analysis", "Operational Impact", etc.)
  • Generic section headers ("Critical Problem", "Expected Permanent Solution")
  • Perfect formatting patterns
• Adds labels and posts verification request when threshold met

AI Contribution Policy (site/content/docs/main/code-standards.md)

• Defines acceptable vs. unacceptable AI usage
• Requires verification of AI-assisted content (version numbers, error messages, configurations)
• Welcomes AI assistance when properly validated

Documentation

• .github/AI-DETECTION-README.md - System overview
• .github/MAINTAINER-AI-DETECTION-GUIDE.md - Triage procedures, engagement templates, threshold tuning
• .github/AI-DETECTION-EXAMPLES.md - Annotated examples showing detection triggers

Configuration

• Added potential-ai-generated to .github/labels.yaml

Educational approach: flags for verification, doesn't block contributions.

Checklist

• Accepted the DCO
• Created a changelog file or commented /kind changelog-not-required
• Updated documentation in site/content/docs/main

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