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BNN Bloomberg 🏢 Bell Media Sep 25, 2026 · 1 min read AI Analyzed ○ Unverifiable View full audit trail → C.R.E.E.D. audited

MPs split on whether AI should be used in House of Commons - BNN Bloomberg

Original article ↗
Named in this story
Greg Fergus Luc Berthold Sandra Cobena
Matched by name against the article text.
Key figures
The Economist reported this week that as much as 20 per cent of what’s said on the floor of the House of Commons was flagged as AI-generated by the AI detector tool Pangram.
Quoted verbatim from the article — not summarised.
B.I.A.S. ANALYSIS
CENTER
LEFTCENTERRIGHT
Signal breakdown
Heuristic (v1/v3) 0.00 · CENTER
ML v2 (DistilBERT) 0.000 · CENTER
Ensemble 0.000 · CENTER
🏦 Source Intelligence
🏢 Corporate · Bell Media
CA
Rolling outlet bias
CENTER
avg -0.176
from 537 scored articles · last 30d
5,722 articles tracked all-time
7-day bias trend
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          Excerpt from BNN Bloomberg
          OTTAWA — Canadian members of Parliament are split on whether — and how — artificial intelligence should be used by lawmakers. The Economist reported this week that as much as 20 per cent of what’s said on the floor of the House of Commons was flagged as AI-generated by the AI detector tool Pangram. Some MPs flatly deny using the tools to generate the statements or comments they deliver in Parliament, while others say it’s useful for research. Liberal MP Greg Fergus says he doesn’t think it’s a good tool for members who are supposed to represent their constituents.…

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          How we scored this article

          WTF uses a two-tier system: every article gets a heuristic bias score from keyword analysis, and priority articles (high overlap across 3+ outlets or strong heuristic signal) get full LLM analysis from B.I.A.S. and V.E.R.I.F.Y.

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