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SB 3261

Illinois SenateIn Senate Committee

Summary

SB 3261, “ARTIFICIAL INTELLIGENCE SAFETY”, was introduced in the Senate on Feb 3, 2026 by Sen. Mary Edly-Allen (D) with 11 co-sponsors. It was referred to Assignments, and last saw action on May 22, 2026: Rule 3-9(a) / Re-referred to Assignments.


Record

Text

SB 3261 has 11 co-sponsors.

sb3261/introduced.txt
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104TH GENERAL ASSEMBLY
State of Illinois
2025 and 2026
SB3261
Introduced 2/3/2026, by Sen. Mary Edly-Allen
SYNOPSIS AS INTRODUCED:
New Act
Creates the Artificial Intelligence Public Safety and Child Protection Transparency Act. Provides that a frontier artificial intelligence model developer or large chatbot provider shall write, implement, comply with, and clearly and conspicuously publish on its website a public safety and child protection plan. Provides that the Attorney General shall establish a mechanism to be used by a large frontier developer, a large chatbot provider, or a member of the public to report a safety incident related to specified artificial intelligence models or chatbots. Sets forth provisions concerning the protection of whistleblowers; third party audits of large frontier developers; and civil penalties. Provides for rulemaking by the Attorney General. Effective January 1, 2027.
LRB104 19179 SPS 32624 b
A BILL FOR
SB3261 LRB104 19179 SPS 32624 b
AN ACT concerning business.
Be it enacted by the People of the State of Illinois,
represented in the General Assembly:
Section 1. Short title. This Act may be cited as the
Artificial Intelligence Public Safety and Child Protection
Transparency Act.
Section 5. Findings. The General Assembly finds and
declares:
(a) Artificial intelligence, including new advances in
foundation models, has the potential to catalyze innovation
and the rapid development of a wide range of benefits for
Illinoisans and the Illinois economy, including advances in
medicine, agriculture, and climate science, and to push the
bounds of human creativity and capacity.
(b) Targeted interventions to support effective artificial
intelligence governance should balance the technology's
benefits and the potential for material risks.
(c) In building a robust and transparent evidence
environment, policymakers can align incentives to
simultaneously protect consumers, leverage industry expertise,
and recognize leading safety practices.
(d) As industry actors conduct internal research on their
technologies' impacts, public trust in these technologies
SB3261 - 2 - LRB104 19179 SPS 32624 b
would significantly benefit from access to information
regarding, and increased awareness of, frontier artificial
intelligence capabilities.
(e) Greater transparency can also advance accountability,
competition, and public trust.
(f) Whistleblower protections and public-facing
information sharing are key instruments to increase
transparency.
(g) Incident reporting systems enable monitoring of the
post-deployment impacts of artificial intelligence.
(h) Unless they are developed with careful diligence and
reasonable precaution, there is concern that advanced
artificial intelligence systems could have capabilities that
pose catastrophic risks from both malicious uses and
malfunctions, including artificial intelligence-enabled
hacking, biological attacks, and loss of control.
(i) With the frontier of artificial intelligence rapidly
evolving, there is a need for legislation to track the
frontier of artificial intelligence research and alert
policymakers and the public to serious risks and harms from
the most advanced artificial intelligence systems, while
avoiding burdening smaller companies behind the frontier.
(j) While the major artificial intelligence developers
have already voluntarily established the creation, use, and
publication of frontier artificial intelligence frameworks as
an industry best practice, not all developers have provided
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reporting that is consistent and sufficient to ensure
necessary transparency and protection of the public.
Mandatory, standardized, and objective reporting by frontier
developers is required to provide the government and the
public with timely and accurate information.
(k) Timely reporting of critical safety incidents to the
government is essential to ensure that public authorities are
promptly informed of ongoing and emerging risks to public
safety. This reporting enables the government to monitor,
assess, and respond effectively if the advanced capabilities
emerge in frontier artificial intelligence models that may
pose a threat to the public.
(l) In the future, foundation models developed by smaller
companies or that are behind the frontier may pose significant
catastrophic risk, and additional legislation may be needed at
that time.
(m) It is the intent of the General Assembly to create more
transparency, but collective safety will depend in part on
frontier developers taking due care in their development and
deployment of frontier models proportional to the scale of the
foreseeable risks.
Section 10. Definitions. As used in this Act:
"Affiliate" means a person controlling, controlled by, or
under common control with a specified person, directly or
indirectly, through one or more intermediaries.
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"Artificial intelligence model" means an engineered or
machine-based system that varies in its level of autonomy and
that can, for explicit or implicit objectives, infer from the
input it receives how to generate outputs that can influence
physical or virtual environments.
"Catastrophic risk" means a foreseeable and material risk
that a frontier developer's development, storage, use, or
deployment of a frontier model will materially contribute to
the death of, or serious injury to, more than 50 people or more
than $1,000,000,000 in damage to, or loss of, property arising
from a single incident involving a frontier model doing the
following:
(1) providing expert-level assistance in the creation
or release of a chemical, biological, radiological, or
nuclear weapon;
(2) engaging in conduct with no meaningful human
oversight, intervention, or supervision that is either a
cyberattack or, if the conduct had been committed by a
human, would constitute the crime of murder, assault,
extortion, or theft, including theft by false pretense; or
(3) evading the control of its frontier developer or
user.
"Catastrophic risk" does not include a foreseeable and
material risk from the following:
(1) information that a frontier model outputs if the
information is otherwise publicly accessible in a
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substantially similar form from a source other than a
foundation model;
(2) lawful activity of the federal government; or
(3) harm caused by a frontier model in combination
with other software if the frontier model did not
materially contribute to the harm.
"Child safety incident" means death or bodily injury to a
minor resulting from the materialization of a child safety
risk.
"Child safety risk" means a material and foreseeable risk
that a frontier developer's foundation model, when used as
part of a covered chatbot operated by the frontier developer,
will engage in behavior when conversing with a minor that, if
it had been engaged in by a human, would be deemed to
intentionally or recklessly do the following:
(1) cause death or bodily injury to that minor,
including as a result of self-harm; or
(2) cause damage to mental health that constitutes
severe emotional distress.
"Covered chatbot" means a service that:
(1) allows an ordinary person to converse with and
have conversations where humanlike responses are generated
by a foundation model;
(2) is foreseeably likely to be accessed by minors;
and
(3) has at least 1,000,000 monthly active users.
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"Covered risk" means a catastrophic risk or a child safety
risk.
"Critical safety incident" means the following:
(1) unauthorized access to, modification of,
inadvertent release of, or exfiltration of, the model
weights of a frontier model;
(2) the death of, or serious injury to, more than 50
people or more than $1,000,000,000 in damage to, or loss
of, property resulting from the materialization of a
catastrophic risk;
(3) loss of control of a frontier model that causes
death, bodily injury, or that demonstrates materially
increased catastrophic risk; or
(4) the use of deceptive techniques by a frontier
model against its frontier developer to subvert the
controls or monitoring of its frontier developer outside
of the context of an evaluation designed to elicit this
behavior and in a manner that demonstrates materially
increased catastrophic risk.
"Deploy" means to make a frontier model available to a
third party for use, modification, copying, or combination
with other software. "Deploy" does not include making a
frontier model available to a third party for the primary
purpose of developing or evaluating the frontier model.
"Employee" has the meaning set forth in the Whistleblower
Act.
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"Foundation model" means an artificial intelligence model
that is:
(1) trained on a broad data set;
(2) designed for generality of output; and
(3) adaptable to a wide range of distinctive tasks.
"Frontier developer" means a person who has trained, or
initiated the training of, a frontier model, with respect to
which the person has used, or intends to use, at least as much
computing power to train the frontier model as would meet the
technical specifications described in the definition of
"frontier model". "Frontier developer" does not include
accredited colleges and universities to the extent that the
colleges and universities are engaging in academic research.
For the purpose of this definition, if a person subsequently
transfers full intellectual property rights of a frontier
model to another person, including the right to resell the
model, and retains none of those rights, then the receiving
person shall be considered the frontier developer with respect
to that frontier model.
"Frontier model" means a foundation model that was trained
using a quantity of computing power greater than 10^26 integer
or floating-point operations. The quantity of computing power
described in this definition shall include computing for the
original training run and for any subsequent fine-tuning,
reinforcement learning, or other material modifications the
developer applies to a preceding foundation model.
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"Large chatbot provider" means a provider who makes a
covered chatbot available in this State and who, together with
the provider's affiliates, collectively have an annual revenue
of at least $25,000,000.
"Large frontier developer" means a frontier developer who,
together with the large frontier developer's affiliates,
collectively have an annual revenue of at least $500,000,000.
"Minor" means an individual younger than 18 years old.
"Model weight" means a numerical parameter in a frontier
model that is adjusted through training and that helps
determine how inputs are transformed into outputs.
"Property" means tangible or intangible property.
"Public safety and child protection plan" means a
documented technical and organizational protocol to manage,
assess, and mitigate covered risks.
"Safety incident" means a child safety incident or a
critical safety incident.
Section 15. Public safety and child protection plans.
(a) A large frontier developer or large chatbot provider
shall write, implement, comply with, and clearly and
conspicuously publish on its website a public safety and child
protection plan that describes in detail:
(1) For a large frontier developer only, how the large
frontier developer:
(A) defines and assesses thresholds used by the
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large frontier developer to identify and assess
whether a frontier model has capabilities that could
pose a catastrophic risk, which may include
multiple-tiered thresholds;
(B) applies mitigations to address the potential
for catastrophic risks based on the results of the
assessments undertaken in accordance with subparagraph
(A);
(C) reviews assessments of catastrophic risk and
adequacy of mitigations of catastrophic risk as part
of the decision to deploy a frontier model or use it
extensively internally;
(D) uses third parties to assess the potential for
catastrophic risks and the effectiveness of
mitigations of catastrophic risks;
(E) implements cybersecurity practices to secure
unreleased frontier model weights from unauthorized
modification or transfer by internal or external
parties; and
(F) assesses and manages catastrophic risk
resulting from the internal use of its frontier
models, including risks resulting from a frontier
model circumventing oversight mechanisms or being used
for artificial intelligence research and development
in a manner that could materially increase
catastrophic risk.
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(2) For a large chatbot provider only, how the large
chatbot provider:
(A) assesses potential for child safety risks;
(B) applies mitigations to address the potential
for child safety risks based on the results of the
assessments undertaken in accordance with subparagraph
(A); and
(C) uses third parties to assess the potential for
child safety risks and the effectiveness of
mitigations of child safety risks.
(3) For both large frontier developers and large
chatbot providers, how the large frontier developer or
large chatbot provider:
(A) incorporates national standards, international
standards, and industry-consensus best practices into
its public safety and child protection plan;
(B) revisits and updates the public safety and
child protection plan, including any criteria that
trigger updates and how the large frontier developer
determines when its foundation models or frontier
models are substantially modified enough to require
disclosures in accordance with subsection (d) or
subsection (e);
(C) identifies and responds to safety incidents;
and
(D) institutes internal governance practices to
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ensure implementation of these processes.
(b) A large frontier developer shall write its public
safety and child protection plan so that, if successfully
implemented, it would prevent unreasonable catastrophic risk.
(c) If a large frontier developer or large chatbot
provider makes a material modification to its public safety
and child protection plan, the large frontier developer or
large chatbot provider shall clearly and conspicuously publish
the modified public safety and child protection plan and a
justification for that modification within 30 days after the
modification is made.
(d) Before, or concurrently with, integrating a new
foundation model, or a version of an existing foundation model
that has been substantially modified, into a covered chatbot
operated by a large chatbot provider, a large chatbot provider
shall conspicuously publish on its website summaries of the
following:
(1) all assessments of child safety risks conducted in
accordance with the large chatbot provider's public safety
and child protection plan;
(2) the results of those assessments;
(3) the extent to which third-party evaluators were
involved; and
(4) other steps taken to fulfill the requirements of
the public safety and child protection plan with respect
to child safety risks.
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(e) Before, or concurrently with, deploying a new frontier
model or a version of an existing frontier model that a large
frontier developer has substantially modified, a large
frontier developer shall implement appropriate safeguards to
prevent unreasonable catastrophic risk and conspicuously
publish on its website summaries of the following:
(1) all assessments of catastrophic risks from the
frontier model conducted in accordance with the large
frontier developer's public safety and child protection
plan;
(2) the results of those assessments;
(3) the extent to which third-party evaluators were
involved; and
(4) other steps taken to fulfill the requirements of
the public safety and child protection plan with respect
to catastrophic risks from the frontier model.
A large frontier developer that publishes the information
described in this subsection as part of a larger document,
including a system card or model card, shall be deemed in
compliance with this subsection.
(f) A large frontier developer shall not use or deploy a
frontier model if doing so would pose unreasonable
catastrophic risk.
(g) A large frontier developer or large chatbot provider
shall not make a materially false or misleading statement or
omission about covered risks from its activities or its
SB3261 - 13 - LRB104 19179 SPS 32624 b
management of covered risks.
A large frontier developer or large chatbot provider shall
not make a materially false or misleading statement or
omission about its implementation of, or compliance with, its
public safety and child protection plan.
This subsection does not apply to a statement that was
made in good faith and was reasonable under the circumstances.
(h) When a large frontier developer or large chatbot
provider publishes documents to comply with this Section, the
large frontier developer or large chatbot provider may make
redactions to those documents that are necessary to protect
the large frontier developer's or large chatbot provider's
trade secrets, the large frontier developer's or large chatbot
provider's cybersecurity, public safety, or the national
security of the United States or to comply with any State or
federal law. If a large frontier developer or large chatbot
provider redacts information in a document under this
subsection, the large frontier developer or large chatbot
provider shall describe the character and justification of the
redaction in any published version of the document to the
extent permitted by the concerns that justify redaction and
shall retain the unredacted information for 5 years.
Section 20. Reporting of safety incidents.
(a) The Attorney General shall establish a mechanism to
be used by a frontier developer, a large chatbot provider, or a
SB3261 - 14 - LRB104 19179 SPS 32624 b
member of the public to report a safety incident that includes
the following:
(1) the date of the safety incident;
(2) the reasons the incident qualifies as a safety
incident; and
(3) a short and plain statement describing the safety
incident.
(b) A frontier developer shall report any critical safety
incident pertaining to one of its frontier models to the
Attorney General within 15 days after discovering the critical
safety incident.
(c) If a frontier developer discovers that a critical
safety incident poses an imminent risk of death or serious
physical injury, the frontier developer shall disclose that
incident within 24 hours after discovering the critical safety
incident to an authority, including any law enforcement agency
or public safety agency with jurisdiction, that is appropriate
based on the nature of that incident and as required by law.
(d) A large chatbot provider shall report any child safety
incident pertaining to one of its covered chatbots to the
Attorney General within 15 days after discovering the child
safety incident.
(e) The Attorney General shall establish a mechanism to be
used by a large frontier developer to confidentially submit
summaries of any assessments of the potential for catastrophic
risk resulting from internal use of its frontier models.
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(f) A large frontier developer shall transmit to the
Attorney General a summary of any assessment of catastrophic
risk resulting from internal use of its frontier models no
less frequently than every 3 months.
(g) The Attorney General may transmit reports of safety
incidents, summaries of assessments of the potential for
catastrophic risk from internal use, and reports from
employees to the General Assembly, the Governor, the federal
government, or an appropriate State agency. The Attorney
General shall consider any risks related to trade secrets,
public safety, cybersecurity, or national security when
transmitting reports.
Section 25. Rulemaking; definitions.
(a) On or before January 1, 2028, and annually thereafter,
the Attorney General shall assess recent evidence and
developments relevant to the purposes of this Act and may
adopt rules to update the following definitions for the
purposes of this Act to ensure that they accurately reflect
technological developments, scientific literature, and widely
accepted national and international standards:
(1) "Frontier model" so that it applies to foundation
models at the frontier of artificial intelligence
development.
(2) "Frontier developer" so that it applies to
developers of frontier models who are themselves at the
SB3261 - 16 - LRB104 19179 SPS 32624 b
frontier of artificial intelligence development.
(3) "Large frontier developer" so that it applies to
well-resourced frontier developers.
(4) "Large chatbot provider" so that it applies to
well-resourced companies developing covered chatbots that
may pose child safety risks.
(b) In adopting rules under this Section, the Attorney
General shall take into account the following:
(1) similar thresholds used in international standards
or federal law, regulations, or guidance documents for the
management of catastrophic risks or child safety risks;
(2) input from stakeholders, including academics,
industry, the open-source community, and governmental
entities;
(3) the extent to which a person will be able to
determine, before beginning to train or deploy a
foundation model, whether that person will be subject to
this Act as a frontier developer or as a large frontier
developer with a focus toward allowing earlier
determinations if possible;
(4) the complexity of determining whether a person or
foundation model is covered, with a focus toward allowing
simpler determinations if possible;
(5) the external verifiability of determining whether
a person or foundation model is covered, with a focus
toward definitions that are verifiable by parties other
SB3261 - 17 - LRB104 19179 SPS 32624 b
than the frontier developer; and
(6) thresholds used by other states in similar law.
(c) The Attorney General shall align any rules adopted
under this Section with a definition adopted in a federal law
or regulation, to the extent that it is consistent with the
purposes of this Act.
Section 30. Protection of whistleblowers.
(a) A frontier developer or large chatbot provider shall
not make, adopt, enforce, or enter into a rule, regulation,
policy, or contract that prevents an employee from making a
disclosure protected under the Whistleblower Act.
(b) A large frontier developer shall provide a reasonable
internal process through which an employee may anonymously
disclose information to the large frontier developer if the
employee has a good faith belief that the information
discloses a substantial and specific danger to employees,
public health, or safety or a violation of this Act, including
a monthly update to the person who made the disclosure
regarding the status of the large frontier developer's
investigation of the disclosure and the actions taken by the
large frontier developer in response to the disclosure.
(c) Except as provided in subsection (d), the disclosures
and responses of the process required by this Section shall be
shared with officers and directors of the large frontier
developer at least once each quarter.
SB3261 - 18 - LRB104 19179 SPS 32624 b
(d) If an employee has alleged wrongdoing by an officer or
director of the large frontier developer in a disclosure or
response, subsection (c) shall not apply with respect to that
officer or director.
Section 35. Third-party audits.
(a) At least once every calendar year, a large frontier
developer shall retain a reputable third-party auditor to
produce a report assessing the following:
(1) whether the large frontier developer has complied
with its public safety plan and any instances of
noncompliance;
(2) any instances where the large frontier developer's
public safety plan has not been stated clearly enough to
determine whether the large frontier developer has
complied; and
(3) whether redactions made by the large frontier
developer in documents published in accordance with this
Act are reasonable and whether any statements made by the
large frontier developer may be false or misleading.
(b) A large frontier developer shall allow the third-party
auditor access to all materials produced to comply with this
Act and any other materials reasonably necessary to perform
the assessment required under subsection (a).
(c) The large frontier developer shall retain the
auditor's report for 5 years and allow the Attorney General to
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inspect the unredacted version of the report upon request.
(d) In conducting the audit, the auditor shall employ or
contract one or more individuals with expertise in corporate
compliance and one or more individuals with technical
expertise in the safety of foundation models.
Section 40. Civil penalties.
(a) A large frontier developer that violates this Act
shall be subject to a civil penalty in an amount dependent upon
the severity of the violation that does not exceed $1,000,000
per violation.
(b) A large chatbot provider that violates this Act shall
be subject to a civil penalty in an amount dependent upon the
severity of the violation that does not exceed $50,000 per
violation.
(c) A civil penalty described in this Section shall be
recovered in a civil action brought by the Attorney General.
Section 45. Loss of equity. The loss of value of equity
does not count as damage to or loss of property for the
purposes of this Act.
Section 50. Compliance with other laws.
(a) The Attorney General may adopt rules creating
alternative compliance pathways for frontier developers or
large chatbot providers that comply with a federal law,
SB3261 - 20 - LRB104 19179 SPS 32624 b
regulation, or guidance document or a law of another state of
the United States.
(b) A rule adopted under this Section shall:
(1) Specify the provisions of this Act for which the
alternative compliance pathway is being established.
(2) Specify the federal law, regulation, or guidance
document, or the law of another state, compliance with
which shall serve as the alternative compliance pathway
for the provisions specified under paragraph (1). The
federal law, regulation or guidance document or the law of
another state shall be substantially equivalent to, or
more protective against catastrophic risk than, the
provisions of this Act specified under paragraph (1).
(c) If a rule adopted under this Section identifies, as
described in paragraph (1) of subsection (b), a provision of
this Act that requires reporting to the State and if the
alternative compliance pathway requires reporting to the
federal government, the rule may, but need not, continue to
require reporting to the State. The rule shall not consider
reporting to another state to be sufficient for compliance
with the relevant provision of this Act.
(d) A rule adopted under this Section may establish steps
frontier developers or large chatbot providers must take to
demonstrate their compliance with the alternative compliance
pathway if it would otherwise be challenging for the State to
verify compliance, such as the submission of documentation to
SB3261 - 21 - LRB104 19179 SPS 32624 b
the State.
(e) A frontier developer or large chatbot provider that
intends to make use of an alternative compliance pathway
created by rule under this Section shall declare its intent to
do so to the Attorney General.
After declaring its intent, a frontier developer or large
chatbot provider shall be deemed in compliance with the
provision of this Act identified by the rule under paragraph
(1) of subsection (b) to the extent that the frontier
developer or large chatbot provider complies with the
requirements of the rule and meets the standards of, or
complies with the requirements imposed or stated by, the
federal law, regulation, or guidance document or law of
another state identified by the rule under paragraph (2) of
subsection (b) until the frontier developer or large chatbot
provider declares the revocation of that intent to the
Attorney General or the Attorney General revokes the rule in
accordance with subsection (f).
(f) The Attorney General shall revoke a rule adopted under
this Section if the conditions specified by this Section no
longer apply.
Section 99. Effective date. This Act takes effect January
1, 2027.

Creates the Artificial Intelligence Public Safety and Child Protection Transparency Act. Provides that a frontier artificial intelligence model developer or large chatbot provider shall write, implement, comply with, and clearly and conspicuously publish on its website a public safety and child protection plan. Provides that the Attorney General shall establish a mechanism to be used by a large frontier developer, a large chatbot provider, or a member of the public to report a safety incident related to specified artificial intelligence models or chatbots. Sets forth provisions concerning the protection of whistleblowers; third party audits of large frontier developers; and civil penalties. Provides for rulemaking by the Attorney General. Effective January 1, 2027.

Sponsors

Sen. Mary Edly-Allen (D) sponsors SB 3261, and 11 members have co-sponsored it.

Committees

SB 3261 went before 2 committees: Assignments and Executive.

Assignments
Assignments
Referred to · Feb 3, 2026
Executive
Executive
Referred to · Feb 17, 2026

History

SB 3261 has taken 21 actions since Feb 3, 2026, the latest on May 22, 2026.

ChamberAction
May 22, 2026
Senate
Rule 3-9(a) / Re-referred to Assignments
May 15, 2026
Senate
Rule 2-10 Committee/3rd Reading Deadline Established As May 22, 2026
Apr 24, 2026
Senate
Rule 2-10 Committee/3rd Reading Deadline Established As May 15, 2026
Apr 15, 2026
Senate
Added as Co-Sponsor Sen. Suzy Glowiak Hilton
Apr 14, 2026
Senate
Added as Co-Sponsor Sen. Meg Loughran Cappel

Votes

SB 3261 has not gone to a roll call.


Source: ilga.gov · legiscan.com