Use of automated decision systems in employment settings regulation
Regulates use of automated decision systems in employment to ensure transparency, human oversight, fairness, and auditability in hiring, evaluation, and related decisions.
Regulates use of automated decision systems in employment to ensure transparency, human oversight, fairness, and auditability in hiring, evaluation, and related decisions.
SF 4689 seeks to regulate the use of automated decision systems (ADS) in employment settings. The bill aims to increase transparency, accountability, and protections for job applicants and employees when automated tools are used to make or influence employment-related decisions (e.g., hiring, screening, promotion, terminations). The overarching goal is to ensure that ADS are used in fair, non-discriminatory, and auditable ways, with oversight mechanisms and clear duties for employers.
Definition and scope of ADS: Establishes a definition for automated decision systems used in employment contexts. May cover algorithms, scoring models, machine learning tools, and other automated processes that influence decisions about hiring, evaluation, compensation, promotion, or termination.
Prohibition of certain uses or safeguards:
Transparency and disclosure requirements:
Human-in-the-loop requirements:
Testing, validation, and auditing:
Data privacy and security:
Recordkeeping and reporting:
Enforcement and penalties:
Scope of affected entities:
Introduction and referrals:
Committee action history:
Status:
If you’d like, I can pull the exact text of SF 4689 and produce a line-by-line annotated summary of provisions, definitions, and enforcement provisions.
Compiled from official sources — confirm details with the bill’s official record.
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