Add SEO-optimized Responsible AI page

[AnanyaDBJ]

Summary

• Adds a new /responsible-ai SEO landing page covering AI safety evaluation, guardrails, governance, bias detection, and compliance with MLflow
• Follows the same format as existing SEO pages (llm-evaluation.tsx, prompt-optimization.tsx, ai-observability.tsx)
• Includes Schema.org structured data (FAQPage + SoftwareApplication), 12 FAQs, 3 code examples with syntax highlighting, and cross-links to related pages

Details

Target keywords: responsible AI, AI governance, AI safety evaluation, AI guardrails, trustworthy AI, AI compliance

Page sections:

1. Why Responsible AI Matters (4 problem/solution cards)
2. What is Responsible AI (five pillars: safety, fairness, transparency, accountability, privacy)
3. Responsible AI for Agents and LLMs (GenAI-specific risks)
4. Key Pillars of a Responsible AI Framework (6 capabilities)
5. How to Implement Responsible AI with MLflow (3 code examples)
6. FAQ (12 questions)
7. Related Resources

Code examples:

• Safety evaluation with built-in Safety() and ConversationalSafety() scorers
• Custom policy compliance judge with make_judge()
• Bias detection and comprehensive evaluation

Test plan

• Run npm start and verify page renders at /responsible-ai
• Verify ArticleSidebar picks up all h2 sections
• Verify FAQ accordion opens/closes correctly
• Verify code examples render with syntax highlighting and copy button
• Verify all internal links resolve (/llm-evaluation, /ai-gateway, /ai-observability, etc.)
• Run npm run build — builds without errors
• Run npm run fmt — no formatting changes
• Run npm run typecheck — no new type errors

This pull request and its description were written by Ananya Roy.