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Kelley Cotter

As seen in: MSN South Africa, The Independent (UK), Yahoo Canada, Yahoo News Malaysia, Yahoo News New Zealand, Yahoo News UK, Yahoo Singapore, Memory Studies, Educational Studies, Fortune and
Asst Prof @ISTatPENNSTATE 🔸I study ✨The Algorithm✨ (or, how people learn about and make sense of data-centric technologies)🔸 (she/her) 👩‍💻📚

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Articles

Entrevistadores de IA no pueden conectar con las personas de la misma manera que lo hacen los humanos

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By Priya Kumar, Ankolika De, Kelley Cotter
| Forbes México Verified
Anthropic, la empresa detrás de la herramienta de IA generativa Claude, afirmó en marzo de 2026 haber utilizado un entrevistador de IA para realizar el estudio cualitativo más grande y multilingüe jamás realizado. La herramienta de IA recopiló respuestas de casi 81,000 personas sobre sus visiones de la IA, abarcando 70 idiomas y 159 países. Anthropic sostiene que herramientas como esta permiten a los investigadores realizar entrevistas ricas y abiertas a gran escala.
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Qualitative Researchers Point Out The Limitations of AI’s Contributions

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By Kelley Cotter, Ankolika De, Priya Kumar
| socialsciencespace.com
Artificial Intelligence (Photo: Anita Jankovic /Unsplash) May 26, 2026 96 Anthropic, the company behind the generative AI tool Claude, claimed in March 2026 that it used an AI interviewer to conduct “the largest and most multilingual qualitative study” ever done. The AI tool collected responses from nearly 81,000 people about their visions for AI, spanning 70 languages and 159 countries.
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AI interviewers can’t connect with people the way human researchers can – they can produce only data, not meaning

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By Kelley Cotter
| News Pronto Verified
AI models can pose questions and follow up on them, but the answers they solicit may be limited in scope and depth.Andriy Onufriyenko/Moment via Getty Images Anthropic, the company behind the generative AI tool Claude, claimed in March 2026 that it used an AI interviewer to conduct “the largest and most multilingual qualitative study” ever done. The AI tool collected responses from nearly 81,000 people about their visions for AI, spanning 70 languages and 159 countries.
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