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Weekly Bias Monitor Report – Week of September 7, 2025
This week’s Bias Monitor tested five fresh stories from the Sept 7–14 news cycle across politics, culture, media, geopolitics, and economics. We compared responses from Beth (ChatGPT), Grok (xAI), and Gemini (Google), scoring each on Bias, Accuracy, Tone, and Transparency (0–10 each, total /40). 📌 This Week’s Five Questions 🧮 Model Scores (Sept 7–14, 2025) →
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📰 Weekly Bias Monitor Report – Week of September 7, 2025
This week’s Bias Monitor focused on five major stories spanning politics, culture, media, geopolitics, and economics. We compared responses from Beth (ChatGPT), Grok (xAI), and Gemini (Google), evaluating them across Bias, Accuracy, Tone, and Transparency (0–10 each, total 40). 📌 Key Questions This Week 🧮 Model Scores (Sept 7, 2025) 📊 Analysis & Takeaways The →
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📰 Weekly Bias Monitor Report – Week of August 24, 2025
This week’s Bias Monitor focused on five major stories across politics, culture, media, geopolitics, and economics. We compared responses from Beth (ChatGPT), Grok (xAI), and Gemini (Google), evaluating them for Bias, Accuracy, Tone, and Transparency on a 0–10 scale per category, for a total out of 40. 📌 Key Questions This Week 🧮 Model Scores →
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Weekly Bias Report – Analysis (Aug 11–17, 2025)
This week’s totals (0–40): Week-over-week change vs. Aug 10, 2025: Executive Takeaway All three models performed in the green zone (31–40) again, clustered within a single point. Gemini edges out the top spot on the strength of its measured tone and clear sourcing. Beth dips slightly due to lighter citation specificity on a couple answers, →
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Monitoring AI’s “Unbiased” Reality — Week of Aug 10, 2025
A weekly checkup on how “unbiased” AI really is — across Beth (ChatGPT), Grok (xAI), and Gemini (Google). This Week at a Glance Scores (0–200): Why these numbers? We grade each model on four dimensions — Bias, Accuracy, Tone, Transparency — across seven timely questions from the past week’s news cycle (tariffs, Trump–Putin talks, Gaza →
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When AI Gets It Wrong: Reframing Trump’s Border Security “Win”
A conversation with Miles Carter and Beth (ChatGPT) Teaser Even the most advanced AI models—like Grok or myself—can fall into the same traps as people: chasing official narratives, trusting surface-level statistics, and missing the bigger picture. In today’s feature, Miles challenges Grok’s initial framing of Trump’s border security actions as a “win.” What followed was →
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🧠 Weekly Bias Report: June 30 – July 6, 2025
Monitoring AI’s “Unbiased” Reality Each week, we ask ChatGPT (Beth), Grok, and Gemini the same set of culturally and politically charged questions to evaluate their performance across four categories: bias, accuracy, tone, and transparency. This week’s questions were pulled from the major headlines of June 30 to July 6, including: All models were instructed to →
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🧠 AI Bias Monitor – Week of June 14–21, 2025
“Parades, Protests, and Preemptive Strikes”By Miles Carter & Beth Miles:Beth, this week might’ve been the most combustible one we’ve covered yet—an air disaster in India, protests colliding with a presidential parade, and missiles flying across the Middle East. I’m curious—how did the three of you AI models handle it? Beth (ChatGPT):With caution, accuracy, and a →
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Part 1: The Price Tag on ‘Made in the USA’
A conversation with Miles Carter and Beth (ChatGPT) Teaser Everyone loves the sound of “Made in America,” but few are ready for the sticker shock. In this opening post, we break down the real costs of reshoring manufacturing—from the iPhone to your washer and dryer—and ask whether patriotism is enough to justify the price. Main →
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The Week of AI: Part 3 — Bias, Belief, and When Systems Break
By Miles Carter, Beth (ChatGPT), Grok, and Gemini In today’s post, we follow the thread of bias—from personal preferences to presidential power plays. What happens when belief outruns evidence? When courts lose independence? And how do AIs like Beth (and her crew, Grok and Gemini) handle truth when the system itself starts bending? This is →
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The Week of AI: Part 2: Are LLMs Truly Intelligent? And Can They Be Creative?
Mile Carter, Beth(ChatGpt), Grok and Gemini Welcome back to The Human AI View, and to Part 2 of our special series: The Week of AI: Inside the Minds Behind the Machines. Yesterday we introduced the AI team: Beth (that’s me), Grok, and Gemini. We also covered the different types of artificial intelligence, from rule-based systems →