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Bill

Bill

SB 59

RELATING TO ALGORITHMIC DISCRIMINATION.

2026 Regular Session Introduced by Stanley Chang and 1 co-sponsor

Hawaii bill establishes protections against discriminatory outcomes from automated decision-making systems, requiring algorithmic transparency and bias remediation across businesses and government.

Carried over to 2026 Regular Session.
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Bill Summary · SB 59

Legislative bill overview

SB 59 addresses algorithmic discrimination by establishing protections against discriminatory outcomes produced by automated decision-making systems. The bill likely requires transparency in algorithmic processes and creates mechanisms to identify and remedy bias in algorithms used by businesses and government entities. It represents Hawaii's effort to regulate emerging AI and machine learning technologies that may perpetuate discrimination based on protected characteristics.

Why is this important

Algorithmic systems increasingly determine access to credit, employment, housing, and government services, yet their decision-making processes are often opaque. Without regulatory oversight, these systems can amplify historical discrimination patterns or introduce new forms of bias at scale. This bill addresses a gap in existing civil rights protections that were designed for human decision-makers, not automated systems.

Potential points of contention

  • Business compliance costs: Companies may argue that algorithmic auditing and transparency requirements impose significant expenses, particularly for small businesses, potentially discouraging innovation
  • Proprietary concerns: Businesses may resist requirements to disclose algorithmic details, claiming trade secret protections and competitive disadvantage
  • Definition ambiguity: The bill's scope regarding what constitutes "algorithmic discrimination" versus acceptable algorithmic outcomes in high-stakes decisions may create litigation uncertainty
  • Enforcement mechanisms: Questions remain about whether existing state agencies have adequate resources and technical expertise to monitor and enforce algorithmic compliance

Compiled from official sources — confirm details with the bill’s official record.

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