HomeMy WebLinkAbout029-26 - Resolution - AI PolicyDocusign Envelope ID: 06448A97-BBFB-88EE-8389-D067A3C23C3C
RESOLUTION NO. 029-26
A RESOLUTION OF THE CITY OF PORT ORCHARD, WASHINGTON, ADOPTING A
MUNICIPAL ARTIFICIAL INTELLIGENCE POLICY TO GOVERN THE RESPONSIBLE
ACQUISITION AND USE OF Al TECHNOLOGIES BY CITY DEPARTMENTS AND
EMPLOYEES.
WHEREAS, the City of Port Orchard recognizes that Artificial Intelligence (Al) technologies
are rapidly evolving and offer significant opportunities to improve public services and advance
beneficial outcomes for the community; and
WHEREAS, the City is committed to the principles of transparency, accountability, and
data privacy in the deployment of new technologies; and
WHEREAS, the City acknowledges the potential for Al systems to perpetuate bias
or inequity and seeks to implement formal "Human -in -the -Loop" (HITL) requirements to
ensure accuracy and fairness in Al -generated outputs; and
WHEREAS, a City Al Committee has developed a comprehensive policy to provide a
framework for the effective and responsible use of Al systems, including specific guidelines for data
classification and public records management;
WHEREAS, the IT Department and the Al Committee have established an approval process
for the acquisition of Al tools to ensure they meet the City's security and resiliency standards;
now, therefore,
THE CITY COUNCIL OF THE CITY OF PORT ORCHARD, WASHINGTON, HEREBY RESOLVES AS
FOLLOWS:
THAT: The "City of Port Orchard Artificial Intelligence Policy," attached hereto as Exhibit
A, is hereby adopted to be effective immediately. All City departments, employees,
elected officials, and contractors engaged with City data are bound by the requirements
and principles set forth therein.
PASSED by the City Council of the City of Port Orchard, SIGNED by the Mayor and attested
by the City Clerk in authentication of such passage this 28th day of April 2026.
Signed by:
I�o� �v�a.atn,suu.
Robert Putaansuu, Mayor
ATTEST:
Signed by:
Brandy Wallace, MMC, City Clerk
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CITY OF PORT ORCHARD
910 - Artificial Intelligence Policy
Effective Date: ASAP
PURPOSE
The purpose of this policy is to set forth the requirements to observe when acquiring and using
software that meets the definition of "artificial intelligence."
SCOPE
All individuals and entities (herein defined as "Users"), including City departments, employees, elected
officials, vendors, contractors, and volunteers, who operate under the authority of the City of Port
Orchard and engage with City data are bound by this policy.
DEFINITIONS
Terms used in the current Artificial Intelligence space are fluid and dynamic. Attached in Appendix A
is a list of current definitions that have been approved by the Al committee to ensure a shared
understanding of its scope and application.
ARTIFICIAL INTELLIGENCE (Al) PRINCIPLES
These Principles describe general codes of conduct that represent the values and responsibilities of
the City to its residents. This policy serves to inform Users in their use of Al technology. Users shall
adhere to the principles and requirements outlined in this policy.
• Innovation: The City values public service innovation to meet our residents' needs. We commit
to responsibly explore and continuously evaluate Al technologies, which will improve our
services and advance beneficial outcomes for our community.
• Transparency and Accountability: The City values transparency and accountability and
understands the importance of these values in our use of Al systems. The City will ensure that
the development, use, and deployment of Al systems are evaluated for and compliant with all
laws and regulations applicable to the City prior to use and will make documentation related to
the use of Al systems available publicly.
• Validity and Reliability: The City will work to ensure that Al systems perform reliably and
consistently under the conditions of expected use, and that ongoing evaluation of system
accuracy throughout the development and/or deployment lifecycle is managed, governed, and
auditable.
• Bias, Harm Reduction, and Equity: The City acknowledges that Al systems have the potential
to perpetuate inequity and bias resulting in unintended and potentially harmful outcomes. The
City will evaluate Al systems with a strong focus on equity, addressing potential impacts
arising from data, human, or algorithmic bias.
• Data Privacy: The City values data privacy and understands the importance of protecting
personal data. The City strives to ensure that policies and standard operating procedures
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reduce privacy risks, and are applied to Al systems throughout development, testing,
deployment, and use.
• Explainability and Interpretability: The City understands the importance of leveraging Al
systems, models, and outputs that are easily interpreted and explained. The City will attempt to
ensure all Al systems utilized, and their outputs, are communicated in clear language,
representative of the context in which they are deployed.
• Security and Resiliency: Securing our data, systems, and infrastructure is important to the City.
The City will ensure Al systems are evaluated for resilience and can maintain confidentiality,
integrity, and availability of data for critical City systems. The City will actively work to minimize
security risks in alignment with governing policy and identified best practices.
POLICY
1. Acquisition and Usage of Al Technology
1.1. The City has a list of approved Al tools that can be used in accordance with individual
department policy (see Appendix B). This list applies to all employees of the City and elected officials.
1.2. Consistent with the City's standards for Acquisition of Technology Resources, Department
directors may request acquisition of Al tools (not listed in Appendix B) through the City's current IT
request process. Departments may not acquire or use Al systems without following the approval
process identified in this policy.
1.3. The IT Department shall review requests according to its current risk and impact methodology,
which shall include specific review criteria for Al technology (see Port Orchard Acquisition of Al
Review Guidelines). The IT Department will then bring the request to the Al Committee for approval or
denial.
1.4. The City's standard for technology acquisition applies to all technology, including Open Source,
Free to Use software, or SaaS (Software as a Service) tools.
1.5. If a technology that has already been approved for use in the City adds or incorporates Al
capabilities, the IT Department shall immediately issue a technical restriction to suspend the use of
those new Al capabilities pending formal review. The Al Committee will immediately be notified and
will then evaluate the change to ensure it continues to follow this policy, according to its current risk
and impact methodology (see Section 1.3). If the Al Committee approves the new Al capabilities, the
IT Department may lift the technical restriction.
1.6. The City's IT Department shall revoke authorization for a technology that adds Al capabilities
and/or restrict the use of those Al capabilities; if those Al capabilities present risks that cannot be
effectively mitigated to comply with this policy or other City policies until the risks can be addressed.
• The IT Department's responsibilities include the technical authority to implement immediate
and mandatory suspension or restriction of new Al capabilities added to existing software, as
required by Section 1.5. The IT Department is responsible for notifying the impacted
department(s) of the suspension and/or restrictions.
2. Use of Al Outputs
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2.1. Outputs of Al systems shall be reviewed by human(s) prior to each use in an official City capacity
("Human in the Loop" or HITL).
3. Attribution, Accountability, and Transparency of Authorship
3.1. Any outputs generated by an Al system, and used substantively in a final product, requires
attribution to the relevant Al system used.
• Departments shall interpret substantive use thresholds to be consistent with the principles
outlined in this document, as well as relevant intellectual property laws.
• All attributions should include the name of the Al system used plus an HITL assertion (which
should include the department or group that reviewed/edited the content).
**Example**
"Some material in this brochure was generated using ChatGPT 4.0 and was reviewed for accuracy by a
member of the Department of Human Resources before publication."
4. Reducing Bias and Harm
4.1. Al systems may produce outputs based on stereotypes or use data that is biased. Users will
review and evaluate Al generated content and the designated HITL reviewer shall ensure that the
output is accurate and free of discrimination and bias (HITL).
5. Data Privacy
5.1. Use of Al tools shall be consistent with the principles and standards described in the City's Data
Privacy Policy, and Information Security Policy.
5.2. Unless suitable enterprise controls and data protection mitigations are in place, users shall not
submit any of the following to Al systems outside of the City's control:
• Data classified by the City's data classification guidelines as "Confidential" or "Highly
Confidential" as listed in the Port Orchard Data Classification Guidelines.
• Data that constitutes a Protected Data or Public Record that is exempt from disclosure under
the Revised Code of Washington (RCW) (RCW 42.56, et al.) or other applicable laws.
• Any other non public information such as: preliminary drafts, intra-agency memorandums, or
sensitive operational data that is not officially approved for public disclosure.
• Data that is not considered to be acceptable to disclose to the public
5.3. No City data or records, including inputs or prompts, are to be used for training or parameter
tuning for Al models outside the City's control. Al technologies that cannot prevent City data or
records from contributing to their language models may not be used.
6. Public Records & City Records Management
6.1. All records generated, used, or stored by Al vendors or solutions may be considered public
records and must be disclosed upon request.
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6.2. All Al solutions and/or vendors approved for City use shall be required to support retrieval and
export of all prompts and outputs (either via exposed functionality or through vendor contract
assurances).
6.3. Users who use Al tools are required to maintain, or be able to retrieve upon request, records of
inputs, prompts, and outputs in a manner consistent with the City's records management and public
disclosure policies and practices.
EXCEPTIONS
Any exceptions to this policy must be approved in advance through submission to the City Al
Committee.
POLICY COMPLIANCE
Noncompliance may result in the Mayor, department directors, or their designees, imposing
disciplinary action, up to and including termination of employment or vendor contract.
RELATED STANDARDS AND POLICIES
• 901 - City of Port Orchard IT Data Security Policy
• 902 - City of Port Orchard IT Data Privacy Policy
• City of Port Orchard Acquisition of Al Review Guidelines
• City of Port Orchard Data Classification Guidelines
• National Institute of Standards and Technology Artificial Intelligence Risk Management
Framework (NIST Al 100-1) (In Draft Folder)
• Revised Code of Washington (RCW):
o Ethics In Public Service (RCW 42.52)
o Public Records Act (RCW 42.56)
o Preservation and Destruction of Public Records (RCW 40.14)
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RESPONSIBILITIES
This policy will be maintained through the City's Al Committee. Their responsibilities include creating
and maintaining the Al risk and impact criteria, developing mandatory standards for the uniform
interpretation and measurement of "Substantive Use" (Section 3.1), criteria by which to evaluate
suggestions for amendments to Appendix B, (see City of Port Orchard Al Review and Guidelines
Policy), including the creation of mandatory departmental standards for designating and training HITL
reviewers.
DOCUMENT CONTROL
This policy shall be effective on TBD and shall be reviewed regularly, or as appropriate.
POLICY REVIEW AND APPROVAL HISTORY
Version Content
v 0.1 Initial Draft
v 0.2 2nd Draft
v 0.5 5th Draft
v 0.6 6th Draft
Contributors
Reviewer(s): Noah Crocker -Finance Director, Rebecca Zick-Deputy Finance
Director, Kori Pearson- Acct Asst III/IT Specialist, Alan Iwashita-POPD
Deputy Chief, Sean Dunham -IT Manager, Jake Langston -IT Specialist, Caden
Cucciardi- Asset Management Tech
Reviewer(s): Noah Crocker -Finance Director, Rebecca Zick-Deputy Finance
Director, Kori Pearson- Acct Asst III/IT Specialist, Alan Iwashita-POPD
Deputy Chief, Sean Dunham -IT Manager, Jake Langston -IT Specialist, Caden
Cucciardi- Asset Management Tech
Reviewer(s): Noah Crocker -Finance Director, Rebecca Zick-Deputy Finance
Director, Kori Pearson- Acct Asst III/IT Specialist, Debbie Lund — HR Director,
Sean Dunham -IT Manager, Jake Langston -IT Specialist, Caden Cucciardi-
Asset Management Tech, Jenine Floyd — Deputy City Clerk, Nick Bond — DCD
Director
Reviewer(s): Noah Crocker -Finance Director, Rebecca Zick-Deputy Finance
Director, Kori Pearson -Acct Asst III/IT Specialist, Sean Dunham -IT Manager,
Jake Langston -IT Specialist, Caden Cucciardi- Asset Management Tech
Reviewer(s): Noah Crocker -Finance Director, Rebecca Zick-Deputy Finance
Director, Kori Pearson- Acct Asst III/IT Specialist, Debbie Lund -HR Director,
Sean Dunham -IT Manager, Jake Langston -IT Specialist, Caden Cucciardi-
Asset Management Tech, Jenine Floyd —Deputy City Clerk, Nick Bond—DCD
Director, Jim Fisk —Senior Planner, Alan Iwashita-Deputy Police Chief
Reviewer(s): Noah Crocker -Finance Director, Kori Pearson- Acct Asst III/IT
Specialist, Debbie Lund —HR Director, Sean Dunham -IT Manager, Jake
Langston -IT Specialist, Caden Cucciardi- Asset Management Tech, Jenine
Floyd —Deputy City Clerk, Nick Bond—DCD Director, Jim Fisk —Senior Planner,
Alan Iwashita-Deputy Police Chief
Approval Date
July 17, 2025
August 21,2025
November 20,
2025
December 9, 2025
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Final
v 1.0
Version
Reviewer(s): Noah Crocker -Finance Director, Rebecca Zick-Deputy Finance
Director, Kori Pearson- Acct Asst III/IT Specialist, Debbie Lund -HR Director,
Sean Dunham -IT Manager, Jake Langston -IT Specialist, Caden Cucciardi-
Asset Management Tech, Brandy Wallace -City Clerk
Decemberl 6,
2025
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APPENDIX A: GENERAL Al DEFINITIONS
Al (Artificial Intelligence): The capability of a machine or system to perform tasks that typically require human
intelligence, such as generating text or audiovisual content, making or recommending decisions, analyzing data, or
automating processes.
Al Algorithm / Al Model: A set of programmed instructions that processes data to perform tasks, make decisions, or solve
problems within an Al system.
Al Assistant: An Al tool which is intended to aid a user in their day-to-day work by suggesting content, retrieving
information, automating processes, and performing other similar tasks.
Al Policy: A document that provides a framework for the effective and responsible use of Al systems within an
organization.
Al System: Any tool, software, process, and workflow, or other system which is based on Al technology, or which uses Al
technology as a key component of that system.
Al Tool: A piece of software which provides Al functionality and can be applied to a specific use case.
Al Use Case: A specific task or purpose for which an Al tool is used or under consideration.
Al User: An individual who is responsible for using, developing, purchasing, configuring, or maintaining Al systems.
Al User Guide: A document which supplements an Al policy with more detailed guidance on how to implement the policy.
Agentic Al: Autonomous Al systems that can act independently to achieve predefined goals, making decisions and taking
actions without constant human oversight.
Anonymization: A process by which data is altered so that it cannot be connected to specific individuals or organizations.
Bias: Systematic tendencies that can exist within Al systems, often stemming from flawed data, algorithms, or design
processes, that may lead to discriminatory or inaccurate outcomes affecting certain groups or individuals.
Black Box Algorithm: An Al algorithm which produces decisions or other outputs with little or no mechanism for the user
to analyze the logic which led to that result.
Data Privacy: The protection of non-public information about a person or organization from disclosure without their
consent.
Data Output: Refers to the information produced by a computer or device as a result of processing input data. It can take
various forms, including; Text, Images, Audio, Video, and more.
Generative Al: Al systems which use algorithms to create text, audio, image, or video content based on some combination
of user prompts and stored data and instructions.
Human -in -the -Loop (HITL): A system design philosophy that requires human oversight and intervention in Al -driven
processes. This ensures that final, critical decisions are made by a person, not the algorithm.
Large Language Model (LLM): A type of generative Al that is trained on a massive amount of text data to understand,
summarize, generate, and predict new human -like language.
Machine Learning: A type of Al which uses algorithms to extract information from and recognize patterns in data, often
used for forecasting, prediction, classification, or analysis.
Open Data: Information derived from an organization's operations which is shared publicly to promote transparency or for
use by external parties.
Protected Data: Information generated or acquired in the course of an organization's operations which is not intended or
approved for public disclosure.
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Public Record: Records stemming from an organization's operations which must by law be shared upon request, whether
or not it is actively published as open data.
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APPENDIX B: Al TECHNOLOGY REGISTRY (Al Tools Currently Approved By Al Committee)
Microsoft Copilot