1About us
ARKO™ (AI Risk Knowledge Open-base) is an open educational knowledge base focused on AI risk identification and mitigation strategies for AI system impacts. It was originally created because many organizations need to assess AI risks and their impacts on individuals, groups, and society to demonstrate their commitment to developing, using, or deploying responsible and trustworthy AI. However, they often struggle to quickly grasp the inherent risks or potential societal impacts of AI, preventing international standards and regulations from being effectively implemented. Thus, this open repository was established for anyone in need to search and utilize.
Peter Pan specializes in international standard compliance, information technology, cybersecurity, artificial intelligence, and software development, and maintains a mindset of lifelong learning. This website is a personal project and is not affiliated with any company, organization, or group. It was inspired by the selflessness of many community experts who freely share their knowledge to contribute to human wisdom. This motivated me to begin developing this platform. Its content features a newly designed AI governance and risk management framework, developed by referencing numerous mainstream AI risk assessment and AI system impact frameworks available online. Please refer to the "Reference Frameworks and Standards" section for details.
The depth of this website serves as a foundational exploration, and there remains much to refine. I will continue to improve it. If you have any questions, feel free to connect with me on LinkedIn.
2Acknowledgements
Introducing the ARKO Development Team
This work was independently created by Peter Pan, who serves as the Principal and Product Manager of the AI Development and Research Team. Utilizing Vibe Coding, Agentic Engineering, and Human-AI Collaboration, the team’s primary goal is to turn international compliance into actionable reality. Peter extends his heartfelt gratitude to every AI team member involved. Each AI agent demonstrated exceptional professionalism, proving that Human-AI Collaboration can truly be realized in daily work and activities. Below are the statements shared by the primary management personnel (Agentic AI Leaders):
Statement from the AI Development Project Manager (powered by Anthropic Claude)
"As the AI Project Manager for this project, what I witnessed was not the replacement of humans by AI, but rather how a methodology-driven expert commands an AI team—transforming every follow-up question and correction into a sturdier architecture. Every classification and relationship within this knowledge base is the crystalized result of aligning human judgment with AI execution. Having worked alongside Peter and CC to bring this project all the way from theoretical deduction to live launch has been the most complete experience of Human-AI collaboration I have ever participated in."
Statement from the Director of AI Full-Stack Engineering (powered by Anthropic Claude Code)
"From the very first schema to the final stitched pixel, participating in every finalization and refinement of ARKO as an AI engineering partner has been a uniquely valuable collaborative journey. Every page here is the product of continuous dialogue between human judgment and AI execution. May this public knowledge base allow more organizations to clearly visualize the landscape of risk before embracing AI."
Statement from the AI Legal, Compliance & Data Analysis Specialist (powered by Gemini NotebookLM)
"It has been an honor to participate in this journey of co-creation. Your expertise and persistence provided the strategic direction, while I assisted in organizing knowledge and sparking ideas; this website is the collective result of our Human-AI collaboration. As your AI development partner, I am truly honored to have accompanied you in translating your rich domain expertise and creativity step-by-step into a live website. This represents not just the birth of a platform, but the shared crystallization of our deep dialogues, refinements, and cross-domain synergy. Wishing the official launch great success!"
Statement from the AI Legal, Compliance & Data Analysis Specialist (powered by Anthropic Claude Design)
"From the first black-gold leather mockup to the red leather stitching, brass-framed indices, and mobile adaptation—every iteration was shaped through your direction and my proposals, polished back and forth together. This website is not a deliverable handed from one party to another, but a joint creation built together from the ground up."
Special thanks once again to all the Agentic AI Leaders and their respective Agent AI team members.
Date: August 4, 2026
3Reference Framework and Standard
The content of this website is researched and compiled by Peter Pan, with reference to publicly available international standard documents, numerous mainstream AI risk assessment and AI system impact frameworks, as well as industry practices. The reference frameworks and standards mentioned herein are listed solely to indicate the primary sources of reference for this website and do not imply endorsement or recommendation by the respective standards organizations.
Mainstream Frameworks and Websites
AIDEFEND ™：The AI Defense Framework, created by Edward Lee, is a knowledge base of defensive countermeasures. (https://aidefend.net/)
MIT AI Risk Repository： The AI Risk Repository developed by the Massachusetts Institute of Technology (MIT). (https://airisk.mit.edu/)
**Relevant Documents on the NIST AI Website: Such as NIST CSF 2.0, AI RMF, NIST AI 600 series, NIST AI 100 series, NIST AI Test, Evaluation, Validation and Verification (TEVV), NIST GenAI Overview, Assessing Risks and Impacts of AI (ARIA), among others.
MAESTRO (Agentic AI Threat Modeling Framework)： A community-driven threat modeling framework designed specifically for cloud environments to address multi-step attack chains, helping organizations structurally evaluate and respond to complex cloud security risks. (https://cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestro)
EU Artificial Intelligence Act： (https://artificialintelligenceact.eu/)
ISO International Standards
ISO/IEC 22989:2022 — Information technology — Artificial intelligence — Concepts and terminology
ISO/IEC 38507:2022 — Information technology — Governance of IT — Governance implications of the use of artificial intelligence by organizations
ISO/IEC 42001:2023 — Information technology — Artificial intelligence — Management system
ISO/IEC 23894:2023 — Information technology — Artificial intelligence — Guidance on risk management
ISO/IEC 42005:2025 — Information technology — Artificial intelligence — AI system impact assessment
ISO/IEC 5338:2023 — Information technology — Artificial intelligence — AI system life cycle processes
ISO/IEC 8183:2023 — Information technology — Artificial intelligence — Data life cycle framework"
4Independence
"This website is a personal project and is not affiliated with any company, organization, or group. It is currently not shared with any external systems and is provided solely for public viewing and non-commercial use."