Prohibits AI system deployers in Illinois from causing algorithmic discrimination. Requires annual impact assessments and governance programs to manage AI risks.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 5-6 subdomains, with strong focus on unfair discrimination (1.1, 1.3), privacy compromise (2.1), governance failure (6.5), and lack of transparency (7.4). Coverage is concentrated in discrimination prevention, privacy protection, and AI system governance domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document governs AI use across multiple sectors through its regulation of automated decision tools making consequential decisions. It has comprehensive coverage of employment, education, housing, healthcare, financial services, and public administration sectors, with explicit mentions of criminal justice, legal services, and utilities.
Hard Law
Legislative Status Summary
This is a binding legislative act with mandatory obligations, enforcement mechanisms including civil actions and administrative fines, and specific penalties for non-compliance. The document uses mandatory language throughout and establishes clear legal obligations for deployers.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily focuses on the Deploy and Operate and Monitor stages of the AI lifecycle. It requires impact assessments before deployment and ongoing monitoring through governance programs, annual reviews, and designated compliance officers. There is minimal coverage of earlier stages like data collection or model building.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers AI systems and automated decision tools. It includes generative AI systems in its definition. There is no mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models. The focus is on automated decision tools used for consequential decisions regardless of AI type.
Document data from AGORA, CSET Emerging Technology Observatory.