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[Feature]: Integrate Responsible AI Agent for Accessibility and Compliance Validation #91

@niksacdev

Description

@niksacdev

Issue Description

Labels: enhancement, agents, accessibility, compliance, size: small

Epic: #63 - Engineering Agents Integration

Related Issues: Part of breaking down #63 into focused implementation tasks

Epic Context

This issue is part of the larger Engineering Agents Integration epic (#63), which aims to integrate 6 collaborative engineering agents from the engineering-team-agents repository into HVE Core. The epic provides multi-platform support (GitHub Copilot + Claude Code + AGENTS.md) while enhancing the existing research → plan → implement workflow with quality gates at strategic points.

This specific issue focuses on the pre-PR compliance validation phase, adding the Responsible AI agent that ensures accessibility (WCAG 2.1) and bias prevention before code reaches @pr-review.

Overview

Integrate the Responsible AI agent to provide accessibility compliance (WCAG 2.1), bias prevention, and ethical code development checks before PR submission.

User Story

As a developer on the HVE Core team, I want automated accessibility and bias validation during development, so that I catch compliance issues early when fixes are small rather than during PR review or after deployment.

Context

  • Problem: Compliance issues found late = expensive retrofits and delayed releases
  • Value Add: Responsible AI practices and Accessibility built-in from day one, 80% faster fixes (caught during development)
  • Integration Point: Post-implementation quality gate before existing @pr-review

Source Repository

Acceptance Criteria

  • Responsible AI agent works in Claude Code (.claude/agents/)
  • Responsible AI agent works in GitHub Copilot (.github/agents/ and .github/chatmodes/)
  • AGENTS.md includes agent in universal format
  • Agent creates RAI-ADRs (Responsible AI Architecture Decision Records) in docs/responsible-ai/
  • RAI-ADR template added to docs/templates/
  • Agent performs WCAG 2.1 compliance checks
  • Agent detects AI/ML bias patterns (OWASP LLM/ML context)
  • Agent validates privacy controls and data collection
  • Agent follows HVE Core conventions
  • All existing HVE Core tests pass

Technical Requirements

  • Platform Support: Claude Code, GitHub Copilot (native + chatmodes), universal AGENTS.md
  • Documentation Structure:
    • docs/responsible-ai/RAI-ADR-[number]-[title].md
    • docs/responsible-ai/responsible-ai-evolution.md
    • docs/templates/responsible-ai-adr-template.md
  • Compliance Checks: WCAG 2.1 AA, keyboard accessibility, screen reader compatibility, color contrast, privacy controls
  • Security Integration: OWASP LLM Top 10 awareness for AI systems

Implementation Phases

Phase 1: Port Agent

  1. Adapt responsible-ai-code.md from source repository
  2. Create Claude version (.claude/agents/)
  3. Create GitHub native version (.github/agents/)
  4. Create GitHub chatmode version (.github/chatmodes/)
  5. Add agent to AGENTS.md

Phase 2: Documentation Setup

  1. Create docs/responsible-ai/ directory
  2. Port RAI-ADR template
  3. Create responsible-ai-evolution.md tracking file
  4. Add cross-references to existing instructions

Phase 3: Integration & Testing

  1. Test agent in Claude Code
  2. Test agent in GitHub Copilot
  3. Validate RAI-ADR creation workflow
  4. Test accessibility check patterns
  5. Validate backward compatibility

Definition of Done

  • Agent works in all three formats
  • RAI-ADR template functional
  • Accessibility checks validated (keyboard, screen reader, contrast)
  • Bias detection patterns working
  • Integration before @pr-review documented
  • README.md updated with accessibility workflow
  • All existing tests pass
  • No breaking changes

Dependencies

  • None (independent implementation)

Related Documentation

Additional Context

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