Issue 2026-W43

Covers:2026-10-19 – 2026-10-25

Collected weekly from a hand-picked list of academic sources, and only studies with real human participants. Original titles and official links are always kept. Chinese summaries are machine-generated and exist only to help you decide what to open.

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What AI is doing to people, this week

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14 matching stories

People Expect Less but Show Equal Influence of LLM Versus Human Moral Advice

Source summaryPublication date: Available online 24 October 2026 Source: Computers in Human Behavior Reports Author(s): Neele Engelmann, Eva-Madeleine Schmidt, Ali Alhosseini, Ivar Rodríguez Hannikainen, Mengchen Dong

From sample diversity to interpretive convergence

Source summaryNature Reviews Psychology, Published online: 22 October 2026; doi:10.1038/s44159-026-00636-0 Generative artificial intelligence tools are being increasingly used by scientists, especially as writing aids for researchers outside English-dominant institutions. However, these tools might narrow interpretations even when applied to increasingly diverse samples. Sampling diversity will not be enough…

Users’ perception of chatbot language fluency and hallucination

Source summaryPublication date: Available online 22 October 2026 Source: Computers in Human Behavior: Artificial Humans Author(s): Marianna A. de Sá Siqueira, Tibor Bosse, Barbara C.N. Müller

Improving safety frameworks for generative AI and youth well-being policy

Source summaryNature Mental Health, Published online: 19 October 2026; doi:10.1038/s44220-026-00735-0 This Perspective evaluates youth well-being policies within AI governance, identifying gaps between ethical frameworks and practical applications. Recommendations emphasize culturally responsive design and trauma-informed approaches to enhance user safety and address developmental needs effectively.