Effective Date: October 1, 2025
Last Updated: October 1, 2025 

Street Vision AI is committed to developing and deploying artificial intelligence technologies that empower local governments to proactively address community quality-of-life issues while upholding the highest standards of ethical responsibility, transparency, and accountability.

Our mission is to transform reactive municipal operations into data-driven, proactive community stewardship through computer vision technology that detects and maps illegal dumping, litter, and graffiti. We recognize that with this capability comes significant responsibility to protect individual privacy, ensure equitable outcomes, and maintain public trust.

This Responsible AI Policy establishes the principles, safeguards, and governance mechanisms that guide our technology development, deployment, and data management practices.

We are committed to operating with radical transparency about our data collection, processing, and sharing practices. We believe communities and municipal clients deserve clear, accessible information about how our technology works and how data is managed.

Privacy protections are embedded into our technology from the ground up, not added as an afterthought. We implement technical safeguards that go beyond legal requirements to protect individual privacy.

Technology augments, not replaces, human judgment. All enforcement actions and decisions affecting individuals require human review and approval by municipal staff.

Our technology is designed to identify environmental conditions and infrastructure issues, not to target or profile individuals or communities. We actively monitor for and mitigate potential disparate impacts.

Data collected through Street Vision AI is used solely for the municipal purposes authorized by our clients. We do not repurpose data for unauthorized surveillance or monitoring activities.

Street Vision AI deploys specialized cameras mounted on existing municipal fleet vehicles (garbage trucks, maintenance vehicles, etc.) that capture street-level imagery along public rights-of-way. Our computer vision models analyze this footage to automatically detect and map:

• Illegal dumping sites
• Litter accumulation
• Graffiti
• Other infrastructure and environmental conditions as requested by clients

All imagery is captured from public rights-of-way where there is no reasonable expectation of privacy. Our cameras capture:

• Street conditions and environmental features
• GPS coordinates and timestamps
• Contextual imagery necessary for accurate detection

Our cameras do not capture:

• Interior spaces or private property beyond what is visible from public streets
• Audio recordings
• Deliberately focused imagery of individuals

Our computer vision models currently achieve approximately 90% accuracy in detecting illegal dumping and graffiti, with continuous improvement as our systems process diverse municipal environments. We are committed to:

• Regular model validation and accuracy testing
• Transparent reporting of model performance to clients
• Ongoing refinement to reduce false positives and negatives
• Documentation of known limitations and edge cases

Human Face Blurring: All detected human faces in footage are automatically blurred before any imagery is provided to municipal clients. This occurs regardless of legal requirements and represents our commitment to privacy by design.

Optional License Plate Obscuring: At client request, license plates can be automatically blurred to provide additional privacy protections.

Secure Internal Storage: Unblurred footage is stored on secure cloud servers with enterprise-grade encryption, access controls, and audit logging. Access to unblurred footage is strictly limited and logged.

We implement comprehensive security measures including:

• End-to-end encryption for data in transit and at rest
• Multi-factor authentication and role-based access controls
• Regular security audits and penetration testing
• Incident response and breach notification protocols
• Compliance with applicable data security standards and frameworks

Footage is retained for a minimum of one year to support municipal operations, trend analysis, and quality assurance. Retention periods may be extended based on operational needs, legal requirements, or contractual obligations.

Data deletion procedures ensure secure and complete removal of footage when retention periods conclude, unless otherwise required by law or contract.

Board Oversight: Any data sharing arrangements beyond standard municipal operations require unanimous approval from Street Vision AI's Board of Directors.

Client Consultation: Municipal clients retain authority over footage collected in their jurisdiction. Third-party data sharing requires explicit client consultation and agreement.

Decision Documentation: All significant data governance decisions are documented, including rationale, stakeholders consulted, and safeguards implemented.

Street Vision AI technology shall not be used for:

• Real-time surveillance or tracking of specific individuals
• Immigration enforcement purposes
• Discriminatory profiling based on protected characteristics
• Any purpose unrelated to the authorized municipal environmental and infrastructure monitoring missions
• Retroactive searches targeting individuals without proper legal authorization

We commit to developing formal ethics review mechanisms as we scale, including consideration of external advisory input on complex ethical questions and deployment decisions.

Our municipal clients maintain substantial control over Street Vision AI deployment and data use within their jurisdictions:

Deployment Decisions: Clients determine where and how cameras are deployed on their fleet vehicles.

Access Controls: Clients specify which personnel have access to footage and analysis.

Community Engagement: Clients determine community notification approaches and public engagement strategies.

Law Enforcement Coordination: Clients establish policies for when and how footage may be shared with law enforcement agencies.

Privacy Settings: Clients may request additional privacy protections, including license plate blurring.

Street Vision AI does not proactively share footage with law enforcement agencies. Access to footage for law enforcement purposes occurs only:

• At the explicit direction of our municipal client
• In accordance with the client's established policies and procedures
• Subject to appropriate legal process as determined by the client
• With client notification (if requested by the client)

Clients establish their own subpoena response policies. We support clients in making informed decisions that balance public safety needs with privacy protections.

Street Vision AI is designed to identify environmental conditions, not people. However, we recognize that any AI system can have disparate impacts on different communities. We are committed to:

Bias Monitoring: Regular analysis of detection patterns across different neighborhoods to identify potential systematic biases in deployment or detection.

Equitable Resource Allocation: Supporting clients in using data to ensure cleanup resources are distributed equitably based on need rather than assumptions.

Community Benefit: Ensuring our technology serves as a tool for community improvement, particularly in historically under-resourced areas.

We train our models on diverse datasets representing various urban, suburban, and rural environments, weather conditions, and community contexts to minimize bias. We continuously validate model performance across different settings to ensure consistent, fair detection regardless of neighborhood characteristics.

We design our systems to focus on environmental conditions rather than correlating detections with demographic information. We do not collect, analyze, or report data in ways that could facilitate discriminatory enforcement practices.

No Automated Enforcement: Street Vision AI provides detection and mapping intelligence to support human decision-making. We do not issue citations, penalties, or enforcement actions automatically.

Municipal Staff Review: All enforcement decisions based on Street Vision AI detections require review and approval by qualified municipal staff.

Override Authority: Municipal personnel maintain complete authority to override, correct, or disregard AI-generated detections based on their professional judgment and ground-truth verification.

We implement quality assurance processes including:

• Regular manual review of model detections to identify false positives
• Feedback mechanisms allowing municipal staff to flag inaccurate detections
• Continuous model improvement based on real-world performance
• Transparent communication of known limitations and accuracy rates

While community notification decisions rest with our municipal clients, Street Vision AI strongly supports public transparency about technology deployment. We provide clients with:

• Template community notification materials
• Public-facing explanations of how the technology works
• Fact sheets addressing common privacy questions
• Support for community information sessions

Where authorized by municipal clients, we support making aggregated, anonymized detection data publicly accessible through:

• Interactive web maps showing illegal dumping and litter hotspots
• Trend analysis and progress reports on community conditions
• Publicly accessible GIS layers (with client approval)

All public data undergoes privacy review to ensure no individual identification is possible.

We maintain a public feedback portal where community members can:

• Provide input on technology deployment
• Request detection of additional environmental concerns
• Identify gap areas or underserved neighborhoods
• Report concerns about system performance or impacts
• Suggest improvements to privacy protections

Community feedback is reviewed regularly and informs product development and deployment decisions.

Street Vision AI may engage with third parties for purposes such as cloud infrastructure, model training, or research collaborations. All third-party relationships are governed by strict data protection requirements including:

• Contractual data protection obligations meeting or exceeding our own standards
• Purpose limitation: data used only for authorized purposes
• Prohibition on further disclosure without authorization
• Technical and organizational security measures
• Regular compliance audits

Municipal clients retain authority over footage collected in their jurisdiction. No third-party access to client-specific data occurs without explicit client consultation and agreement, except as required for core service delivery (e.g., cloud hosting providers operating under strict data processing agreements).

We carefully vet technology vendors and partners to ensure alignment with our ethical principles. We maintain ongoing oversight of third-party compliance with data protection obligations and terminate relationships that fail to meet our standards.

Street Vision AI operates in full compliance with applicable laws and regulations including:

• Federal and state privacy laws
• Data security and breach notification requirements
• Public records and transparency laws
• Municipal contracting and procurement regulations

We actively monitor evolving AI governance frameworks and participate constructively in policy discussions. We commit to adapting our practices as legal and regulatory standards evolve.

Where applicable privacy laws grant data subject rights (access, correction, deletion, etc.), we work collaboratively with municipal clients to facilitate appropriate responses while respecting the unique context of imagery captured in public spaces.

This Responsible AI Policy is reviewed at least annually and updated as needed to reflect:

• Technological changes and new capabilities
• Evolving ethical best practices and industry standards
• Lessons learned from deployment experience
• Regulatory developments
• Stakeholder feedback

We maintain protocols for identifying, responding to, and learning from incidents including:

• Privacy breaches or data security incidents
• Model performance issues or systematic errors
• Complaints about technology impacts
• Unauthorized data access or use

All significant incidents are reported to affected clients promptly, and lessons learned inform policy and technical improvements.

We commit to periodic transparency reporting on:

• Aggregate system performance metrics
• Privacy protection effectiveness
• Law enforcement data requests (in aggregate)
• Significant policy changes or ethical decisions
• Community feedback themes and responses

We welcome external scrutiny of our practices and commit to:

• Engaging with civil society organizations, privacy advocates, and academic researchers
• Participating in independent audits where appropriate
• Responding substantively to public concerns
• Contributing to industry-wide best practice development

We are committed to maintaining open dialogue with all stakeholders about our Responsible AI practices.

For Municipal Clients:
Questions about data governance, privacy protections, or policy implementation should be directed to your designated Street Vision AI account representative.

For Community Members:
Community feedback, questions, or concerns can be submitted through our public feedback portal at streetvision.co/contact

For General Inquiries:
Email: info@streetvision.co

For Data Protection Questions:
Email: info@streetvision.co

Street Vision AI believes that advanced technology can and should be a force for equity, empowering under-resourced local governments to better serve their communities. This requires not just technical excellence, but unwavering commitment to ethical principles, meaningful privacy protections, and genuine accountability.

This Responsible AI Policy represents our pledge to develop and deploy technology responsibly. It is a living document that will evolve with our technology, our understanding, and the needs of the communities we serve.

We recognize that trust is earned through consistent action, not statements of principle. We commit to honoring these principles in every deployment decision, every line of code, and every interaction with the municipalities and communities we serve.