ARGUS-AI

AI Policy Assessment Platform

ARGUS-AI: AI Policy Assessment Tool

The AI Policy Assessment Utility is the result of a comprehensive Doctoral Dissertation Research Project conducted at National American University. The ARGUS-AI project (Accountability, Responsibility & Governance as a Unified Strategy for AI) utilizes the esteemed OECD AI Principles to automate the thorough analysis and evaluation needed to assess Global AI Policies and Strategies.

The ARGUS-AI utility is designed for Researchers, Practitioners, and Policymakers involved in developing and deploying AI systems within the intricate landscape of Global Strategic Security and Intelligence domains.

For inquiries, contact: argusai@oecdai.com

Key Features

  • Automated Content Analysis: Leverages Google AI advanced language processing capabilities to efficiently analyze large volumes of policy text.
  • Automated Translation of Non-English Documents: Automatic translation of Non-English language AI Strategies to English language based policy analysis.
  • Quantitative Assessment: Employs the Ordinal Scale of Measurement to provide a structured and quantifiable evaluation of policy alignment with OECD AI Principles.
  • Actionable Insights: Delivers clear and concise results, empowering decision-makers, researchers, and practitioners to pinpoint strengths and weaknesses within AI policies, ultimately enhancing strategic positioning and promoting responsible AI development for national security.

Gemini API Key

Provide the official document title as it appears on Page 1. This helps ensure accurate analysis.

Upload AI Policy Document

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PDF, TXT, DOCX, XLSX, CSV • Max 200MB

10 OECD Principles

The OECD AI Principles provide a strategic framework for AI actors to develop trustworthy systems while offering policymakers actionable recommendations for effective governance. This dual-purpose approach fosters technical integrity and ensures regulatory alignment across the global AI ecosystem.

OECD AI Principles →

5-Point Ordinal Scale

This 5-point ordinal scale provides a structured quantitative framework to measure organizational synergy. By mapping responses across five distinct intervals, it captures a granular spectrum of data ranging from very low to very high alignment. This standardized approach ensures a consistent, objective assessment of how closely individual performance or technical assets meet established benchmarks.

External Research

The Accountability, Responsibility & Governance as a Unified Strategy for AI (ARGUS-AI) research meticulously evaluates U.S. National AI strategies, assessing their alignment with the OECD AI Principles within the U.S. National Security and Intelligence Community (IC) Nexus.

View Dissertation Paper →