Policy Text
\n\n--- Page 1 ---\n\nTALLAHASSEE POLICE DEPARTMENT
GENERAL ORDERS
SUBJECT
Use of Artificial Intelligence
CHIEF OF POLICE
Signature on File
NUMBER ORIGINAL ISSUE CURRENT REVISION TOTAL PAGES
79 05/15/2024 N/A 4
AUTHORITY/RELATED REFERENCES
FBI CJIS Security Policy
FDLE Guidelines for CJIS Access
Florida General Records Schedule GS-2
General Order 15, Facial Recognition Program
General Order 17, Records Management
General Order 56, License Plate Recognition System
General Order 77, Computer, Cellular Telephone and Data Utilization
ACCREDITATION REFERENCES
CALEA Chapter None
CFA Chapter None
KEY WORD INDEX
AI Vendor Requirements Procedure VII
Breaches of Protected Information Procedure VI
CJIS Security Procedure I
Compliance Monitoring and Enforcement Procedure V
Data Privacy and Retention Procedure II
Training and Education Procedure IV
Transparency and Accountability Procedure III
POLICY
It is the purpose of this policy is to establish guidelines for the Tallahassee Police
Department regarding the use of artificial intelligence (AI) technologies to ensure
compliance with the FBI CJIS Security Policy (CSP) and to safeguard the security of
witness, victim, suspect, and intelligence data. The Tallahassee Police Department will\n\n--- Page 2 ---\n\nTALLAHASSEE POLICE DEPARTMENT
leverage responsible AI utilizing a Human in the Loop (HITL) approach to augment
decision-making and automate workflows with AI-powered information and insights to
ensure members do not violate the privacy and civil rights of individuals.
DEFINITIONS
Artificial Intelligence Systems: Hardware, Software, or programs that have a
component designed to mimic cognitive functions such as problem-solving, perception,
and decision-making that are typically associated with human intelligence. These
systems can be capable of analyzing large amounts of data, recognizing patterns, and
making predictions or decisions based on that analysis. Examples of systems that utilize
this technology are computer vision/video processing systems such as ALPR, Facial
Recognition, and Briefcam, Natural Language Processing Systems (word to text
programs or generative text) such as AXON Report Writer, Google Translate, ChatGPT,
and analytical data collection systems such as CrimeView.
Human in the Loop (HITL) - Human-in-the-loop (HITL) is an iterative feedback process
whereby a human (or team) interacts with an algorithmically generated system, such as
computer vision (CV), machine learning (ML), or artificial intelligence (AI).
LASO: Local Agency Security Officer. A COT Technology & Innovations employee
assigned to the Department who serves as the primary contact between the Department
and the FDLE regarding the security of criminal justice information accessed via the
COT computer network.
Member: any department employee who may be granted access to technology that
utilizes artificial intelligence.
PROCEDURES
I. CJIS Security
1. All AI systems used by the Tallahassee Police Department must comply with
the FBI CJIS Security Policy (CSP).
2. Prior to implementing any AI technology, the Tallahassee Police Department
CJIS compliance officer (LASO) must conduct a thorough assessment to
ensure compliance with CJIS standards, including but not limited to encryption,
access controls, and auditing requirements as listed in General Order 77, CJIS
Security Protocols.
3. Only authorized members with appropriate clearance levels shall have access
to CJIS data processed or generated by AI systems.
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II. Data Privacy and Retention
1. AI systems used for data gathering, analysis, or dissemination must adhere to
strict security protocols to prevent unauthorized access, modification, or
disclosure of sensitive information.
2. The Tallahassee Police Department shall remain in control of all data
generated by AI systems, except that which is releasable by law.
3. All data stored, transmitted, or processed by AI systems must be
encrypted/stored securely to protect against interception or data breaches.
4. The Tallahassee Police Department shall ensure that the use of AI
technologies complies with all applicable data privacy laws, regulations, and
that data/information generated adhere to current state data retention timelines.
III. Transparency and Accountability
1. Members of the Tallahassee Police Department shall be aware of the
capabilities, limitations, and potential biases of AI technology.
2. The Tallahassee Police Department shall ensure that the use of AI
technologies aligns with City of Tallahassee ethical standards. The Tallahassee
Police Department encourages responsible use of these emerging
technologies, and its members are accountable for the use of these tools.
3. Bias mitigation strategies to include HITL and personnel augmented decision
making shall be implemented to minimize the risk of discriminatory outcomes in
decision-making processes facilitated by AI systems.
4. Instances where AI systems are utilized to support case information or identify
possible suspects will require independent, non-AI developed, facts or
circumstances to give authority to detain or arrest.
IV. Training and Education
The Tallahassee Police Department technology and Innovation LASO, who is
responsible for developing, implementing, or overseeing AI initiatives in the
Department shall receive training on CJIS compliance, security, and ethics.
V. Compliance Monitoring and Enforcement
1. Compliance with this policy shall be monitored through annual audits,
inspections, and reviews conducted by the TPD LASO.
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2. This policy shall be subject to periodic review by the TPD LASO and revision to
ensure its effectiveness, relevance, and alignment with evolving legal and
technological landscapes.
VI. Breaches of Protected Information
In the event of a notable cybersecurity incident or data breach Tallahassee Police
Department shall provide a notification to the Cybercrime Office of the Department
of Law Enforcement including the following:
1. A summary of the facts surrounding the cybersecurity incident or ransomware
incident.
2. The date of the most recent backup; the physical location of the backup, if the
backup was affected; and if the backup was created using cloud computing.
3. The types of data compromised by the cybersecurity or ransomware incident.
4. The estimated fiscal impact of the cybersecurity incident or ransomware
incidents.
5. In the case of a ransomware incident, the details of the ransom demanded.
VII. AI Vendor Requirements
In the event of the use of a third-party AI solution or service the vendor must
adhere to the requirements below:
1. The vendor must have a cybersecurity framework in place such as NIST,
ISO27001, SOC2, PCI DSS, etc.
2. The vendor must use industry standard and up-to-date security tools and
technologies such as antivirus protections, antimalware, ransomware
protections, and intrusive prevention and detection methods.
The vendor must encrypt all data used by AI system.
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