🔍 Intelligence Synthesis JP/EN
Ethics · Regulation · Technology — Pharma Practice Notes
Article digest · Oct 28 AM

AI Ethics — what each story says

Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.

12 stories7 with summaries8 topics

⚖️ Bias, discrimination and fairness2

Bioengineer.org10/27 09:34 UTC

Ensemble AI model flags and rewrites media bias in news text

A new ensemble AI system detects media bias in news text with 77.5 percent accuracy. It rewrites flagged passages while preserving meaning.

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🔒 Privacy and surveillance1

🔍 Transparency and accountability1

CPA Practice Advisor10/27 17:54 UTC

Where AI Belongs in the Audit Process (and Where It Doesn’t)

The article asks what work technology should take off an auditor’s plate and what responsibility needs to stay with the auditor.

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🎭 Misinformation and deepfakes2

The Guardian10/27 13:07 UTC

AI-driven disinformation running rampant on social media before US midterms, experts warn

Social media companies including Meta have pulled back on efforts to protect voters from election-meddling lies.

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🧒 Protecting children and vulnerable people2

KBAK10/27 11:36 UTC

California moves to add safeguards for kids using AI companion chatbots

California is taking new steps to protect children using artificial intelligence, including safeguards for AI companion chatbots.

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EEW Magazine10/27 15:38 UTC

Anthropic says children have used its Claude AI as it flags mental health unknowns

Anthropic's IPO filing says minors and people at risk of suicide have used its Claude AI. The filing also states that the long-term mental health effects of AI are unknown.

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📜 Ethics principles and guidelines2

Bioengineer.org10/27 14:34 UTC

Turning AI ethics principles into checkable clinical controls

A new Perspective proposes organizing responsible clinical AI governance into three functional domains: Capability, Explainability, and Communication. The aim is to translate broad ethical principles into controls that can be checked.

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🇯🇵 AI ethics in Japan1

Asahi Shimbun10/27 15:00 UTCJapanese

Five firms including Google respond to Japan's request for transparency on generative AI training data

On the 27th, Japan's Cabinet Office published responses submitted by five companies, including US-based Google, after the government asked for transparency about generative AI training data. Google said it does not store the data it learned from in its AI models.

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👤 Key Voices1

The analysis and visual summary are in the Oct 28 AM issue. Japanese version here.