Establishes guidelines in Tempe for ethical AI use, emphasizing transparency, fairness, and accountability. Requires departments and Information Technology to collaborate on AI reviews. Mandates regular assessments and stakeholder engagement. Ensures adherence to legal standards and privacy protection. Promotes AI literacy and compliance.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 8-10 subdomains, with strong focus on discrimination and bias (1.1, 1.3), privacy and security (2.1, 2.2), transparency and interpretability (7.4), and governance structures (6.5). Coverage is concentrated in fairness, accountability, transparency, and governance domains, with minimal coverage of malicious actor risks, misinformation, or advanced AI safety concerns.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
This is an internal municipal government policy that governs AI use within the City of Tempe's own operations. The primary sector governed is Public Administration (excluding National Security), as the policy applies to all city departments, agencies, and employees. The policy does not regulate external private sector entities or other industries.
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Legislative Status Summary
This is an internal municipal government policy document establishing ethical AI guidelines for the City of Tempe's own operations. While it uses mandatory language ('shall') for internal departments, it functions as an organizational policy rather than binding law or voluntary soft law guidance for external parties.
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Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document comprehensively covers all stages of the AI lifecycle, with particular emphasis on design, deployment, and ongoing monitoring. It explicitly addresses planning objectives, development processes, deployment procedures, and continuous evaluation through semiannual reviews and audits.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and provides comprehensive coverage of various AI types including predictive analytics, machine learning, deep learning, generative AI, and automated decision making. It does not specifically mention frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.