"use client" import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card" import { Badge } from "@/components/ui/badge" import { Separator } from "@/components/ui/separator" import { Button } from "@/components/ui/button" import Link from "next/link" import { ArrowLeft, ExternalLink, Sun, Moon } from "lucide-react" import { useTheme } from "next-themes" export default function AboutPage() { const { theme, setTheme } = useTheme() return (
A comprehensive platform for documenting and sharing AI system evaluations
Provide a consistent framework for documenting AI system capabilities and limitations across different models and platforms.
Enable AI developers and researchers to share detailed evaluation results in an accessible, standardized format.
Support side-by-side comparison of AI systems across multiple dimensions including capabilities and risks.
Consolidate evaluation data to inform AI research directions and policy development.
Encourage comprehensive risk assessment and responsible deployment practices through structured evaluation.
Risk categories are derived from the NIST AI Risk Management Framework (AI RMF 1.0), providing a comprehensive approach to identifying and managing AI-related risks.
Capability categories are based on the OECD AI Classification Framework, ensuring alignment with international standards for AI system categorization.
All evaluation categories, form fields, and data structures are centrally managed in the schema/ folder. This is the primary location for making structural changes to the evaluation framework.
schema/evaluation-schema.json - Evaluation categories and typesschema/output-schema.json - Complete data structureschema/system-info-schema.json - Form field optionsschema/category-details.json - Detailed descriptions
Evaluation data files are stored in public/evaluations/ as JSON files. Each file represents a complete evaluation of an AI system and must conform to the schema.
AI Evaluation Dashboard is an open-source project dedicated to advancing responsible AI development — built with ❤️ by the EvalEval Coalition.
Learn more about EvalEval: evalevalai.com