The City of Tulsa Municipal Court Rules 2024

• Authority: Tulsa, OK
• Parent authority: Local governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-04-01

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• False or misleading information
• Fraud, scams, and targeted manipulation
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains, with only subdomain 7.4 (Lack of transparency or interpretability) receiving a coverage score above 1. The document primarily addresses transparency through disclosure requirements rather than comprehensive risk mitigation across multiple domains.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Professional & Technical Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Public Administration sector, specifically the judicial system and court operations. It regulates how legal professionals and parties interact with the municipal criminal court system when using AI tools.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding court rule issued by a municipal court with mandatory disclosure requirements and enforcement through existing legal compliance mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: City of Tulsa Municipal Court
• Summary: The document is titled 'The City of Tulsa Municipal Court Rules 2024' and establishes requirements for filings with the Municipal Criminal Court, indicating the court itself is the proposing authority.

Target

• Entity Types: AI_User
• Summary: The rule explicitly targets attorneys, pro se defendants, victims, and other parties who use generative AI tools in preparing court documents, making them AI users subject to disclosure requirements.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Tulsa Municipal Criminal Court
• Summary: The Municipal Criminal Court has enforcement authority through its power to construe filings and apply existing statutory requirements under 12 O.S. §2011.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Tulsa Municipal Criminal Court
• Summary: The court monitors compliance through review of filed documents and certification requirements, ensuring parties disclose AI use as required.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document focuses exclusively on the deployment and use stage of AI systems, specifically addressing how generative AI tools are used by legal practitioners in preparing court documents. It does not cover development, training, or validation stages.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• Generative AI

Technical Scope Summary

The document explicitly mentions generative AI tools with specific examples (ChatGPT, Bing AI, Google Bard) but does not define or distinguish between AI models, AI systems, or other technical categories. It focuses on practical application rather than technical specifications.