A bill to amend the South Carolina Code of Laws by adding Section 63-5-380 so as to prohibit operators of internet-based applications from using "automated decision systems" to place content on social media platforms for users under the age of eighteen…

• Authority: South Carolina
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Proposed
• Most recent activity date: 2023-01-18

Risk subdomain coverage

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

• Exposure to toxic content
• Compromise of privacy
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Lack of capability or robustness
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 4-5 subdomains, with strong focus on human-computer interaction risks (5.1, 5.2), AI system safety and limitations (7.3, 7.4), and exposure to toxic content (1.2). Coverage is concentrated in protecting minors from automated content recommendation systems.

Sector coverage

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

• Information

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector, specifically social media platforms, websites, and online/mobile applications that use automated decision systems for content placement. This is a sector-specific regulation targeting digital platforms and online services.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative bill that creates legal obligations with enforcement mechanisms including civil penalties and injunctions through the South Carolina Unfair Trade Practices Act.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: South Carolina General Assembly
• Summary: The document is a bill proposed by the South Carolina General Assembly to amend the South Carolina Code of Laws.

Target

• Entity Types: AI_Deployer
• Entities: operators of websites, online services, online or mobile applications, social media platforms
• Summary: The bill targets operators of internet-based applications and social media platforms that use automated decision systems for content placement for South Carolina residents.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: South Carolina Attorney General
• Summary: The Attorney General is explicitly designated as the enforcement authority with power to bring actions for injunctions and civil penalties.

Monitor

• Summary: The document does not explicitly designate a monitoring body or establish monitoring mechanisms. Enforcement appears to be complaint-driven rather than proactive monitoring.

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 primarily focuses on the Deploy and Operate and Monitor stages, as it regulates the deployment and ongoing operation of automated decision systems for content placement on social media platforms. It does not address earlier lifecycle stages such as planning, data collection, or model development.

Technical Scope

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

• AI Systems
• Predictive AI
• Task-specific AI

Technical Scope Summary

The document explicitly mentions automated decision systems and defines them as computational processes including machine learning, statistics, or other AI techniques. It does not specifically mention AI models, AI systems, or any specialized categories like frontier AI, GPAI, foundation models, or compute thresholds.