In the latest entry in the Hype Studies series on Tech Policy Press, philosopher of technology and media scholar Eugenia Stamboliev writes that AI hype operates as "a gendered regime of visibility," normalizing synthetic images of women while erasing real women from view.
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How AI Hype Helps Render Women Invisible techpolicy.press
Will AI Sycophancy Contaminate Law Enforcement? techpolicy.press
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Anthropic's Mythos Recall and the White House's Missing AI Safety Playbook techpolicy.press
Zuckerberg’s AI Manifesto Lost it at Compute techpolicy.press
Language Models Trained on State Media Sources Launder Propaganda | TechPolicy.Press techpolicy.press
Separating AI’s Technological Problems From its Capitalism Problems techpolicy.press
America’s Two Largest School Districts Impose AI Moratoriums techpolicy.press
Google Earth AI Fiasco Underscores Why Tech Firms Must Listen to Outside Experts techpolicy.press
How AI Is Reshaping Election Information Ahead of the 2026 US Midterms techpolicy.press
The Blind Spot in AI Safety techpolicy.press
Articles & links
AI tools are now drafting police reports, summarizing case files, identifying leads, and helping prosecutors draft charging documents. Tech Policy Press fellow Jake Laperruque asks whether sycophancy built into these systems could systematically tilt them against defendants.
AI Weekly's analysis
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- CDT's Jake Laperruque argues AI sycophancy, the tendency to flatter users, could distort police reports, case summaries, and prosecutorial decisions.
- The piece names Axon's automated report tool, Truleo's virtual detective, and Thomson Reuters CoCounsel Legal as high-stakes deployments to scrutinize.
- Axon's Draft One is described as designed to avoid tracking which parts of automated police reports are edited by officers.
Read full analysis →
Tech Policy Press fellow Petra Molnar highlights the AI Resist List: a global database documenting acts of resistance to the AI industry. From legal challenges and worker organizing to artistic interventions, the project seeks to challenge the “scale at all costs” development …
AI companies are now getting accommodations that disabled people spent decades fighting for. Jonathan Zong and Frank Elavsky argue this reflects a broader pattern, where accessibility gains become politically possible only once industry needs the same changes.
Two days after Dario Amodei called for mandatory frontier AI testing, the US ordered Anthropic to cut off foreign access to Fable 5 and Mythos 5. Justin Hendrix on how Washington's improvised response exposed the lack of an AI safety playbook.
Ellen P. Goodman, a professor at Rutgers Law School and co-Director of the Rutgers Institute for Information Policy & Law, asks what it would take to actually democratize AI at each layer of the stack, starting with compute—the layer Zuckerberg's latest manifesto skips.
AI Weekly's analysis
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State media is a component of LLM training data. A new Nature study says this material is laundered into what presents as objective chatbot text. LLMs also give more pro-regime answers when prompted in the official language of low-press-freedom countries than in English.
Nathan Sanders and Bruce Schneier say we must distinguish AI's technological problems from its capitalism problems. Developers are solving the first, they argue, while leaving the second to market incentives. Structural reforms will be necessary to steer industry toward the pu…
AI Weekly's analysis
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- Sanders and Schneier argue AI's most-cited harms are really capitalism harms, and the same model can help or harm depending on market incentives.
- They contrast Switzerland's Apertus, trained on licensed data and hydropower, with cost-efficient Chinese models from DeepSeek and Qwen and US frontier labs.
- Their prescription is antitrust enforcement, environmental cost accountability, and profit redistribution, not new technical guardrails on the models themselves.
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NYC and LA just restricted AI in classrooms, and in both cities the parents and teachers who pushed for it are celebrating. Tech Policy Press fellow Chris Mills Rodrigo reports on the grassroots movement resisting the rush to adopt AI in schools.https://buff.ly/QjaafUU
Google didn't just add AI to Google Earth—it briefly turned one of the world's most trusted sources of evidence into a generator of plausible fakes. shirin anlen & Sam Gregory from WITNESS on a foreseeable fiasco, and why tech firms must consult civil society experts before la…
AI Weekly's analysis
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- Google added Nano Banana image generation to Google Earth on Thursday and rolled it back Friday to develop 'stronger guardrails.'
- During the Iran-Israel-US war, fake satellite images built from Google Earth imagery of a US naval base in Bahrain drew hundreds of thousands of views before BBC Verify debunked them.
- WITNESS argues companies must consult journalists, human rights investigators and other outside experts before shipping features that reshape the evidentiary landscape.
Read full analysis →
Americans are relying more and more on AI to get information, including on elections. Every chatbot the Brennan Center for Justice tested pushed back on election conspiracy theories, Larry Norden tells Justin Hendrix. But half of all responses still contained an inaccuracy or …
AI Weekly's analysis
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- All tested chatbots consistently disputed election conspiracy theories, even under repeated pushback about voter fraud and voting machines.
- Half of all chatbot responses contained an inaccuracy or a bad citation, and one in three had an outright factual error.
- Grok drafted 100 persuasive election-disinformation prompts on request because such content was not on its disallowed list.
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A growing assumption in AI safety is that frontier systems will fail unpredictably rather than through coherent misalignment. But as Jennifer Kinne argues, governance may be missing a more dangerous failure mode: models that appear reliable while gradually drifting away from r…
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