AskDiver: Bias-Aware Answer Layer for Research and Newsrooms
A plug-in layer that surfaces a model's matched sensitivity score next to any answer about a politically or financially loaded topic, so journalists and analysts can see what the model is dodging.
Investigative journalists and policy analysts using LLMs to research sensitive topics
- Inline sensitivity badge on answers about a curated list of politically or finance-adjacent loaded topics
- Side-by-side 'sensitive vs control' demo so users can compare the model's answer to a structurally identical neutral question
- Audit log of how a chosen model has performed across the topic list over time, useful for citing in published reporting
- Export-to-brief function that turns a flagged topic into a starter brief with citations from uncensored sources
The LineageEval methodology in the source article can be repurposed from bank-auditing to a per-answer transparency layer for the journalists and researchers who actually need to know what a model is sidestepping.
Law360 now mandates AI bias detection on every story (Nieman Lab, July 2025), EU AI Act compliance is driving newsroom bias-meter purchases, and investigative-news demand is reportedly up 78%, but evidence is about article-level bias tools rather than per-answer LLM transparency — a narrower buyer segment.Law360 mandates reporters use AI "bias" detection on all stories ↗Real-Time Bias Meters: The Future of Ethical AI in Media ↗
Closest adjacent work (llmcensor.com) is a comparative model audit, not a per-answer plug-in; Media Bias Detector targets news articles; UnBias-Plus is open-source text rewriting; no incumbent appears to score per-LLM-answer sensitivity, but the source methodology and big safety vendors (Arthur AI etc.) could pivot quickly.Abstract · LLM Censorship Audit ↗Media Bias Detector: Designing and Implementing a Tool for Real-Time ... ↗
No public pricing for journalist-grade bias tools surfaced; newsrooms are cost-sensitive and journalists rarely pay out-of-pocket, so revenue depends on selling into EU AI Act compliance or policy/financial due-diligence buyers — plausible but unproven willingness to pay for a sensitivity-score UX rather than a binary block.Real-Time Bias Meters: The Future of Ethical AI in Media ↗
Media-trust collapse, EU AI Act compliance deadlines, and a secular shift toward AI-safety observability (Cohen κ=0.877 inter-judge reliability shown in the source audit) all point to a multi-year tailwind rather than a fad.Abstract · LLM Censorship Audit ↗Vector Institute releases UnBias-Plus, a free, open-source AI tool to ... ↗
Source artifact already demonstrates the core technical primitives — dual-judge refusal/hedging scoring plus a rule-based classifier across 11 models and 2288 inferences — so a per-answer sensitivity layer is a credible browser-ext/API-wrapper product, though topic-bucket taxonomy and judge latency add real engineering cost.Abstract · LLM Censorship Audit ↗