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Clive staff unveils draft AI governance policy and pilots; council asks for clarity on biometrics and transparency
Summary
Assistant City Manager Pete presented a draft AI policy (human‑centered design, transparency, privacy, limits on biometric/emotional analysis) and proposed pilot projects; council asked staff to tighten language on biometric use, Flock cameras and law‑enforcement exceptions and to return with a revised policy.
Assistant City Manager Pete briefed the Clive City Council on a draft AI governance framework and a set of recommended pilot projects. He said the policy emphasizes human‑centered design, security, fairness and accountability and that staff will publish a transparency page describing AI use in city systems.
Pete reviewed current AI uses — the web chatbot "Greeny," Flock camera license‑plate capture, experimental co‑pilot tools and internal dashboard prototypes — and said staff has identified low‑risk pilots such as website content auditing (to meet ADA requirements), agenda and packet efficiency tools, and possible Microsoft co‑pilot licensing for staff productivity. He also discussed higher‑risk use cases to avoid or limit, including covert real‑time biometric identification, emotional analysis and fully automated decisions without human oversight.
"AI is already in our lives and it's affecting us daily," Pete told the council, adding that the city should prioritize pilots that address clear pain points while preserving human oversight.
Council members commended the draft but asked for clarified language around biometric data and Flock cameras, caution on emotional analysis, and stronger transparency about where AI is used and what safeguards are in place. Council Member Susan urged staff to highlight efficiency gains openly, while others stressed the need for ongoing review as the technology evolves.
Staff will revise the draft with clearer biometric language, publish a transparency page and return for formal consideration at a subsequent meeting; Pete said staff also plans targeted pilots guided by a small internal working group and to report back on outcomes.
