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AI Inventories and Risk Management Guide

Responsible AI Institute & Chevon - AI Inventories

Authored by: Kent Sokoloff, Hadassah Drukarch, Sez Harmon, and Patrick McAndrew

AI is transforming industries, but with great power comes great responsibility. To help organizations effectively manage AI-related risks, Chevron and the Responsible AI Institute (RAI Institute) have co-authored a new guide, AI Inventories: Practical Challenges for Organizational Risk Management. This essential resource provides business leaders with insights on tracking AI use cases, ensuring compliance, and mitigating financial and operational risks.

For businesses adopting AI, maintaining a comprehensive AI inventory is no longer optional—it’s a necessity. Unlike traditional IT application inventories, AI inventories require deeper tracking of use cases, model types, and data sources to ensure transparency, accountability, and regulatory compliance.

Key takeaways from the guide include:

  • Understanding AI Use Case Inventories – Why AI inventories are more complex than traditional IT tracking.
  • Challenges in AI Inventory Management – The barriers organizations face as AI adoption scales.
  • Designing a Practical AI Inventory – How to build an inventory that mitigates risks and enhances oversight.
  • The Role of Regulations & Standards – How emerging AI regulations impact inventory management.

With the rise of generative AI tools like ChatGPT, Microsoft Copilot, and Llama 3, tracking AI usage within an organization has become increasingly difficult. Chevron and RAI Institute emphasize that tracking AI use cases is a foundational step toward responsible AI adoption. The guide serves as a practical roadmap for enterprises looking to balance AI innovation with ethical considerations, security, and regulatory compliance.

Download the full guide here

About the Responsible AI Institute 

Since 2016, Responsible AI Institute (RAI Institute) has been at the forefront of advancing responsible AI adoption across industries. As a non-profit organization, RAI Institute partners with policymakers, industry leaders, and technology providers to develop responsible AI benchmarks, governance frameworks, and best practices. RAI Institute equips organizations with expert-led training, real-time assessments, and implementation toolkits to strengthen AI governance, enhance transparency, and drive innovation at scale.

Members include leading companies such as Boston Consulting Group, Genpact, KPMG, Kennedys, Ally, ATB Financial and many others dedicated to bringing responsible AI to all industry sectors.

Media Contact

For all media inquiries please refer to Head of Strategy and Marketing, Nicole McCaffrey.

nicole@responsible.ai

+1 440-785-3588

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