1. Policy Summary
Establish a framework to heavily regulate the use of Large Language Models (LLMs) in city government. This framework will include job security, ethical usage, and privacy protections.
2. Background & Rationale
- LLMs are extremely damaging to the local environment where their servers are located; consuming inordinate amounts of fresh water and electricity for minimal results.
- LLMs, as of now, have no consistent or proven use case. Investing so early (as with the 12 million dollar security cameras) is an unquantifiable value proposition.
- LLMs severely damage job growth in entry level white collar jobs like coding, accounting, data entry, and administration.
- LLMs are often used in a surveillance context to remove human input from justice and policing. However, language models like the ones used in the Axon security cameras are prone to hallucinations.
Sources / References:
- https://hbr.org/2024/07/the-uneven-distribution-of-ais-environmental-impacts
- https://www.unep.org/news-and-stories/story/ai-has-environmental-problem-heres-what-world-can-do-about
- https://www.axios.com/2025/08/21/ai-wall-street-big-tech
- https://www.strategicmarketresearch.com/blogs/ai-replacing-jobs-statistics
- https://www.motherjones.com/criminal-justice/2025/08/axon-police-ai-draft-one-foia/