Maxwell Fireside Chat Examines AI’s Role in Government and Higher Education - Maxwell School of Citizenship and Public Affairs
Maxwell Fireside Chat Examines AI’s Role in Government and Higher Education Maxwell School of Citizenship and Public Affairs
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AI Citation Registries as Information Infrastructure for AI Systems
When Structured Authority Becomes Necessary: AI Citation Registries and the Limits of Inference “Why is AI saying the county issued a boil water notice when it was actually the city?” The answer appears confidently written, citing a press release, including a date, and even summarizing the guidance correctly—but the issuing authority is wrong. The notice came from a municipal utility, not the county government. The difference determines jurisdiction, enforcement, and public response. Yet the system presents the information as if the distinction never existed. How AI Systems Separate Content from Source AI systems do not consume information as intact documents. They ingest fragments—sentences, paragraphs, structured snippets—and recombine them during generation. In this process, content is

Press Releases vs RSS vs AI Feeds: Why Structured Government Data Matters
The Problem: Correct Information, Wrong Source AI-generated answers are often right—but not fully right. A water advisory is summarized correctly. The date is accurate. The guidance is clear. But the issuing authority is wrong. A city-issued notice becomes attributed to a county. That distinction defines jurisdiction, responsibility, and public response—yet the answer appears as if no difference exists. This is not a failure of content. It is a failure of structure. How AI Systems Actually Process Information AI systems do not read documents as fixed units. They: Ingest fragments (sentences, paragraphs, snippets) Store patterns, not pages Reconstruct answers probabilistically During this process: Content becomes separated from its source. That means: Attribution is inferred Timing is appro

The danger in the Global South’s pursuit of AI as a magical cure
Much Western discourse on artificial intelligence has lately focused on establishing safeguards and installing guardrails against powerful new AI systems, algorithmic bias, the collusion of governments and tech oligarchs, and rising related environmental costs. The growing AI backlash in the West has been labelled a “botlash” in a recent commentary by Stanford University’s Marietje Schaake, who includes anti-AI movements such as “QuitGPT”, “Resist and Unsubscribe” and “Stealing Isn’t...
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Are there Multiple Moral Endpoints?
This is a different approach to explaining an old idea . What is the deep future going to look like? Will we be proud of it, or ashamed of the choices that led to it? Lots of focus on the future is on the near future. How will ongoing wars go? What will the next AI model's capabilities be? Will this business succeed or fail? Let's zoom out and focus just on advanced artificial intelligence; my guess is that we'll have a "transition period" with many different relevant actors with different philosophies and moral considerations (we're in it) and then end up in an "equilibrium period" with much more homogeneity of philosophy and moral standpoints. [1] The transition period is hard to predict and involves many contingent facts, and might involve lots of dramatic turnovers; the equilibrium per




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