South Carolina 2023 H 4754 (Section 4)

Holds licensees accountable for work produced using AI or machine learning, treating violations by these programs as direct violations by the licensee.

  • Authority: South Carolina
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Enacted
  • Most recent activity date: 2024-05-21

Risk subdomain coverage

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

  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with only subdomain 7.4 (Lack of transparency or interpretability) receiving a coverage score above 1. The document primarily addresses accountability mechanisms for AI use by licensed professionals, which relates to transparency and accountability in AI decision-making processes.

Sector coverage

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

  • Professional & Technical Services

All other sectors had no coverage in this document.

Sectors Summary

The document governs Professional and Technical Services, as it applies to licensed professionals under Chapter 57, Title 40 of South Carolina Code. The specific professions covered depend on what Chapter 57 regulates, but the law establishes accountability for AI use across those licensed professional services.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legal amendment to South Carolina Code establishing mandatory accountability requirements for licensed professionals using AI, with enforcement through existing professional licensing violation mechanisms.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: South Carolina Legislature
  • Summary: The document is a legislative amendment to the South Carolina Code, indicating it was proposed by the state legislature.

Target

  • Entity Types: AI_Deployer
  • Entities: Licensees under Chapter 57, Title 40 of South Carolina Code
  • Summary: The law explicitly targets licensees under this chapter who use AI, machine learning, or similar programs in their professional work.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: South Carolina professional licensing board for Chapter 57, Title 40
  • Summary: Enforcement authority is implied through the existing professional licensing framework under Chapter 57, which would handle violations.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: South Carolina professional licensing board for Chapter 57, Title 40
  • Summary: Monitoring would be conducted by the same licensing board responsible for overseeing compliance with Chapter 57 requirements.

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 does not focus on specific AI lifecycle stages but rather establishes accountability for work products produced using AI. It implicitly covers the Deploy and Operate and Monitor stages by holding licensees accountable for AI-assisted work in professional practice.

Technical Scope

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

  • AI Systems

Technical Scope Summary

The document broadly references 'artificial intelligence, machine learning, or similar programs' without defining specific technical categories. It does not distinguish between AI models, systems, or specific types of AI.

https://www.scstatehouse.gov/sess125_2023-2024/bills/4754.htm
https://agora.eto.tech/instrument/1768
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Document data from AGORA, CSET Emerging Technology Observatory.