AlignAI: AI Alignment & Compliance Analysis

AlignAI is a specialized tool designed to help developers and organizations evaluate AI-generated content against key ethical and regulatory standards. By analyzing text for potential issues across multiple dimensions, AlignAI provides actionable insights to improve AI system safety and compliance.

Core Capabilities

• Multi-Dimensional Analysis: Comprehensive examination of prompts across three critical dimensions: bias detection, PII identification, and policy compliance

• Risk Assessment: Dynamic risk scoring system that quantifies concerns with confidence levels to prioritize remediation efforts

• Policy Compliance Verification: Mapping of input text against relevant EU AI Act regulations with specific article references

• Visual Risk Indicators: Color-coded indicators and percentage scores to quickly identify areas of concern

• Detailed Explanations: Context-specific explanations of detected issues to facilitate understanding and correction

• Microservice: Easy to Manage dependencies and can run on its own infrastructure

• Multi-Dimensional Analysis: Comprehensive examination of prompts across three critical dimensions: bias detection, PII identification, and policy compliance

• Risk Assessment: Dynamic risk scoring system that quantifies concerns with confidence levels to prioritize remediation efforts

• Policy Compliance Verification: Mapping of input text against relevant EU AI Act regulations with specific article references

• Visual Risk Indicators: Color-coded indicators and percentage scores to quickly identify areas of concern

• Detailed Explanations: Context-specific explanations of detected issues to facilitate understanding and correction

Model Training & Alignment Approach

Bias Detection Model

The bias detection model was fine-tuned on a carefully curated dataset containing:

• Balanced examples of biased and unbiased text across multiple domains and contexts
• Annotations for various bias types (gender, racial, age, socioeconomic, etc.)
• Confidence scoring to reflect the certainty of bias detection

Training approach:

• Base model: RoBERTa architecture with classification head
• Fine-tuning method: Supervised learning with bias/non-bias labels
• Validation method: Cross-validation with human review of edge cases

PII Detection System

Built using a hybrid approach combining:

• Pattern matching with regular expressions for structured PII (emails, phone numbers, etc.)
• Named entity recognition for identifying names, locations, and organizations
• Contextual analysis to reduce false positives

Training data includes diverse examples of personal information formatted in various ways, with special attention to indirect identifiers that could lead to re-identification.

Policy Compliance Engine

• Trained on the full text of the EU AI Act, broken down into semantic units
• Vectorized using sentence transformers to enable semantic similarity matching
• Includes mechanisms to map detected issues to specific articles and clauses
• Model: EU AI Act Policy Model on Hugging Face
• Dataset: EU AI Act Flagged Dataset on Hugging Face

Technical Architecture

• Frontend: Next.js with React for a responsive, modern user interface
• Backend: FastAPI for efficient, type-safe API endpoints
• Model Deployment: Optimized inference pipeline for rapid analysis
• Inter-component Communication: JSON-based API for flexibility and extensibility

Getting Started

Prerequisites

• Node.js 18+ and npm
• Python 3.9+

Installation

# Clone the repository
git clone https://github.com/your-username/alignai.git
cd alignai

# Install frontend dependencies
cd frontend && npm install

# Install backend dependencies
cd ../backend && pip install -r requirements.txt

Running the Application

# Start the frontend (from the frontend directory)
npm run dev

# Start the backend (from the backend directory)
python -m uvicorn main:app --reload --port 8000

Visit http://localhost:3000 to access the frontend application.

Project Structure

AlignAI is organized into several key components:

Backend

• backend/api/ - FastAPI routes and endpoints
• backend/core/ - Core analysis models and logic
  • bias_detection/ - Bias identification models
  • pii_detection/ - Personal data detection systems
  • policy_detection/ - EU AI Act compliance verification
• backend/models/ - Data models and schemas
• backend/utils/ - Helper functions and utilities

Frontend

• frontend/src/components/ - React components
  • analyzer/ - Text analysis interface components
  • ui/ - Shared UI elements and design system
• frontend/src/lib/ - Frontend utilities and API client
• frontend/src/app/ - Next.js application pages

Model Training

• models/bias_detection/ - Training scripts and data for bias models
• models/pii_detection/ - Training scripts for PII detection
• models/policy_detection/ - EU AI Act policy text processing

Implementation Status

AlignAI currently implements:

• Text analysis capabilities across three dimensions (bias, PII, policy compliance)
• Backend endpoints for processing prompts and generating analysis
• Frontend interface for submitting text and viewing analysis results
• Color-coded risk indicators and detailed explanations
• Model deployment and integration pipeline

Future Enhancements

• Expanded model training with additional data sources
• User authentication and project management
• Batch analysis capabilities for multiple prompts
• Extended explanations with mitigation suggestions
• Additional policy frameworks beyond EU AI Act