The working archive
Writing from the lab on AI, data, platforms, and operating what gets built.
Latest dispatches
Artificial intelligence has become part of everyday life. People use AI assistants to draft emails, summarize documents, learn new topics, plan projects, write code, and make sense of complex information. […]
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What police reports can teach every organization handling sensitive data Contracts exist to allocate risk, and AI makes that risk harder to predict. Generative drafting and autonomous agents raise questions […]
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What the Third Circuit’s ROSS AI copyright opinion reveals about the creative spark AI copyright is reaching the federal courts of appeals, and the lines are becoming more specific. In […]
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What the latest copyright decisions mean for the human work inside AI A company can buy an AI service in an afternoon. Explaining the rights behind its training material, retrieved […]
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Why preservation, version history, and human authorization must be designed before AI reaches the case file By Chris Ryan and Lili Kazemi Chris Ryan Lili Kazemi An AI-assisted police report […]
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From Silicon Valley to Foley Square: Mapping U.S. AI Copyright Risk Across the Value Chain Whose intelligence is it, anyway? That is the question beneath the U.S. copyright cases now […]
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Artificial intelligence has moved beyond simple chatbots and content generation. In 2026, nonprofits have an opportunity to use AI as part of the way work actually gets done, connecting people, […]
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Before an AI layer drafts, summarizes, or analyzes a police record, an agency should be able to explain the problem it is solving, the evidence it is transforming, the humans […]
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Artificial intelligence is becoming part of everyday decision-making faster than many organizations expected. It can summarize information, identify patterns, generate recommendations, answer questions, and increasingly take actions on behalf of […]
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Artificial intelligence is becoming easier for organizations of all sizes to explore. For nonprofits, that creates an interesting opportunity: some of the work that takes hours every week, from sorting […]
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AI is already inside the nonprofit, but only 4 percent of surveyed nonprofits had documented, repeatable workflows. The governance question is whether mission, data, human judgment, and community trust are […]
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AI’s greatest danger is not only that machines may be wrong. It is that people and institutions may stop questioning how they know. Building an ethical AI future requires reliability, […]
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From autonomous hacking and synthetic personas to AI-designed viruses and a majority-bot internet, safety is no longer a sidecar to innovation. It is the architecture that determines whether innovation can […]
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AI nativity is not a commodity model or a race to automate work. It is a human-centered growth architecture for turning trusted knowledge, responsible design, and human judgment into greater […]
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The hidden productivity trap of AI-enabled work, and how composite AI can turn possibility overload into disciplined decision support. AI was supposed to make knowledge work easier. In many ways, […]
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