medium severityConnecticut AI AccountabilityguidanceStatus: committee
Connecticut AI Accountability Act
Published: January 15, 2024Connecticut Legislature
Summary
Connecticut SB 2 proposes accountability requirements for AI systems used in consequential decisions affecting Connecticut residents. The bill would require deployers to conduct impact assessments, implement governance frameworks, provide consumer transparency notices, and establish appeal processes. It follows a similar structure to the Colorado AI Act and covers employment, lending, insurance, housing, and educational decisions.
Affected Requirements
Impact AssessmentGovernance FrameworkConsumer TransparencyAppeal Process
Nexara AI Analysis
Narrative
- Connecticut Senate Bill 2 represents a significant expansion of state-level AI regulation
- following Colorado's pioneering approach with the AI Act. The proposed legislation would establish comprehensive accountability requirements for AI systems making consequential decisions in employment
- lending
- insurance
- housing
- and education sectors. For the identified AI systems
- this creates immediate compliance obligations particularly for the employment-related screening tools. The bill's requirements for impact assessments
- governance frameworks
- consumer disclosures
- and appeal processes would necessitate substantial operational changes for organizations deploying AI systems affecting Connecticut residents. Given Connecticut's significant business presence and the bill's broad jurisdictional reach covering decisions that affect state residents
- compliance planning should commence immediately despite the legislation's pending status. The medium severity reflects both the comprehensive nature of the requirements and the precedent-setting potential for additional state AI legislation.
AI-Specific Regulation
Yes — this regulation specifically targets AI systems
Recommended Actions
- Conduct algorithmic impact assessments for Acme Hiring Screener and Employee Resume Screener as employment-related consequential decision systems under Connecticut SB 2
- Implement governance frameworks including performance monitoring
- bias testing
- and human oversight procedures for all consequential AI systems
- Develop consumer disclosure notices explaining AI system use
- decision logic
- and data factors for affected Connecticut residents
- Establish appeal and correction processes allowing Connecticut consumers to contest and seek review of AI-driven decisions
- Create documentation and recordkeeping systems to demonstrate compliance with Connecticut accountability requirements