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.
Will AI Sycophancy Contaminate Law Enforcement? techpolicy.press
AI Weekly's analysis
→
- 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 …
The World Is Already Resisting AI. Now, There is a List to Prove It. techpolicy.press
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.
The Web Is Being Made Accessible for AI, Not People | TechPolicy.Press techpolicy.press
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.
How AI Hype Helps Render Women Invisible techpolicy.press
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.
Anthropic's Mythos Recall and the White House's Missing AI Safety Playbook techpolicy.press
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.
Language Models Trained on State Media Sources Launder Propaganda | TechPolicy.Press techpolicy.press
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…
Google Earth AI Fiasco Underscores Why Tech Firms Must Listen to Outside Experts techpolicy.press
AI Weekly's analysis
→
- 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 →
View on Bluesky ·
♥ 13
↻ 9
↩ 2
·
4 from the directory shared this ·
10d ago
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…
The Blind Spot in AI Safety techpolicy.press
Based on 10 months of fieldwork, Hannah Lipstein shares five takeaways from "Greening AI in the public sector," a new procurement handbook for agencies weighing AI's environmental impacts.
Governments Can Advance 'Greener AI' Through the Power of Procurement | TechPolicy.Press techpolicy.press
AI Weekly's analysis
→
- Hannah Lipstein, a DAIR research associate, co-developed a handbook with Data & Society and the GovAI Coalition, which represents over 900 US agencies.
- The guide, drawn from 10 months of fieldwork, suggests asking vendors for average kilowatt hours per token or adding a single yes or no sustainability question.
- Lipstein argues for 'frugal AI' and warns the technology is being used to turbocharge fossil fuel extraction, calling adoption not inevitable.
Read full analysis →
Anna Neumann, Holli Sargeant and Jat Singh argue that system prompts alone don't predict model behavior, so AI safety assessments must evaluate a system's outputs, not solely its written instructions.
Making AI Safe Requires More Than Constraining Its Instructions techpolicy.press
DOGE fed grant descriptions into ChatGPT and rubber-stamped the outputs. A court said that's the government's own conduct — not the chatbot's. Jordan Ascher explains why Learned Societies is a landmark for AI accountability.
A Judicial Wake-Up Call on Government by AI techpolicy.press
View on Bluesky ·
♥ 20
↻ 5
↩ 0
·
3 from the directory shared this ·
41d ago
Almost every LLM that reaches a broad audience is quantized—compressed to run cheaply. USC's Emilio Ferrara argues this compression is treated as a safety nonevent, when it should be treated as a change to the deployed system. This has policy implications, he says.
The Model You Audit Is Not the Model You Ship techpolicy.press
AI Weekly's analysis
→
- Emilio Ferrara tested six open models including Qwen, Gemma and Llama across eight languages and found compressed versions volunteered stereotypes in roughly one in four answers.
- Nominal precision labels routinely understate how much a build has actually been compressed by a factor of three to 14, the article reports.
- Ferrara wants the EU AI Act and California SB 53 to require naming the deployed configuration and testing open-ended generation in multiple languages.
Read full analysis →