California 2025-2026 Regular Session

California Senate Bill SB719

Introduced
10/14/25  
Introduced
2/21/25  
Refer
3/12/25  
Refer
3/25/25  
Refer
4/2/25  
Refer
1/5/26  
Refer
1/5/26  
Refer
1/5/26  
Refer
1/6/26  
Report Pass
1/13/26  
Refer
1/13/26  
Report Pass
1/14/26  
Report Pass
1/13/26  
Refer
1/14/26  
Refer
1/13/26  
Engrossed
1/26/26  
Report Pass
1/14/26  
Refer
1/14/26  
Refer
5/4/26  
Report Pass
1/14/26  
Refer
1/14/26  

Caption

Department of Technology: inventory: high-risk automated decision systems.

Impact

This amendment is expected to enhance oversight concerning the deployment of potentially problematic automated decision systems and the associated risks of reliance on technology in decision-making processes affecting residents. The requirement for comprehensive reporting seeks to facilitate transparency and accountability, thereby potentially leading to improved regulatory compliance and risk assessment protocols within the state government. The change aims to ensure that technological interventions do not lead to unintentional biases or adverse outcomes in public services. By extending the reporting period to 2032, the bill aims to adapt to the quickly evolving nature of artificial intelligence and automated systems.

Summary

Senate Bill 719 (SB719) amends Section 11546.45.5 of the Government Code, primarily focusing on high-risk automated decision systems utilized by state agencies. This bill extends the requirement for the Department of Technology to submit an annual report identifying all high-risk automated decision systems until January 1, 2032. Such systems are defined as tools that replace or assist human decision-making with significant legal implications, affecting access to services across various domains, including housing, education, and healthcare. The bill delineates exceptions for specific automated systems used solely for verifying eligibility in social services without replacing human judgment entirely, ensuring that outputs indicating ineligibility are subject to human review before any decision is executed.

Sentiment

The sentiment towards SB719 appears generally cautious, reflecting recognition of both the benefits and potential pitfalls of employing automated decision-making systems within government services. Supporters advocate for proactive measures to ensure that the systems are not only efficient but also equitable and just. Critics, on the other hand, emphasize the inherent risks of over-reliance on automated systems, particularly regarding the protection of citizen rights and the importance of human oversight in decision-making, suggesting a balanced but skeptical approach regarding technological integration in public services.

Contention

Notable points of contention include concerns about the adequacy of safeguarding measures against biases inherent in automated systems, and the effectiveness of human review processes in maintaining fairness. Opponents of such automated decision systems argue that decisions impacting welfare and access to critical services should not rely heavily on potentially flawed algorithms or statistical models. Therefore, discussions surrounding SB719 may center on establishing clear guidelines and ethical standards around the use of artificial intelligence in public decision-making.

Companion Bills

No companion bills found.

Previously Filed As

CA SB189

Automated Decision-Making Technology

CA SB430

Local agencies: automated decision systems.

CA SB1248

State agencies: automated decision systems.

CA SB947

Employment: automated decision systems.

CA SB7

Employment: automated decision systems.

CA SB00435

An Act Concerning Automated Decision Systems Protections For Employees.

CA SB468

High-risk artificial intelligence systems: duty to protect personal information.

CA HB1096

Automated Permits for Clean Energy Technology

CA HB1297

Concerning Artificial Intelligence, Algorithms, And Other Automated Technologies; And To Regulate Certain Practices Of Healthcare Insurers.

CA SB720

Automated traffic enforcement system programs.

Similar Bills

No similar bills found.