ticklevio/AnthropicInterviewer

---
license: mit
viewer: true
language:
- en
pretty_name: AnthropicInterviewer
configs:
- config_name: AnthropicInterviewer
default: true
data_files:
- split: workforce
path: "interview_transcripts/workforce_transcripts.csv"
- split: creatives
path: "interview_transcripts/creatives_transcripts.csv"
- split: scientists
path: "interview_transcripts/scientists_transcripts.csv"
---

# Anthropic Interviewer

A tool for conducting AI-powered qualitative research interviews at scale. In this study, we used Anthropic Interviewer to explore how 1,250 professionals integrate AI into their work and how they feel about its role in their future.

**Associated Research:** [Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI](https://www.anthropic.com/research/anthropic-interviewer)

## Dataset

This repository contains interview transcripts from 1,250 professionals:
- **General Workforce** (N=1,000)
- **Creatives** (N=125)
- **Scientists** (N=125)

All participants provided informed consent for public release of their raw interview transcripts.

## License

Data released under CC-BY, code released under MIT License

## Contact

For inquiries, contact [e-mail].

## Citation
```bibtex
@online{handa2025interviewer,
author = {Kunal Handa and Michael Stern and Saffron Huang and Jerry Hong and Esin Durmus and Miles McCain and Grace Yun and AJ Alt and Thomas Millar and Alex Tamkin and Jane Leibrock and Stuart Ritchie and Deep Ganguli},
title = {Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI},
year = {2025},
url = {https://anthropic.com/research/anthropic-interviewer},
}
```

---
license: MIT许可证（MIT License）
viewer: 数据集查看功能已启用
language:
- en
pretty_name: Anthropic访谈工具（AnthropicInterviewer）
configs:
- config_name: AnthropicInterviewer
default: true
data_files:
- split: workforce（职场人群）
path: "interview_transcripts/workforce_transcripts.csv"
- split: creatives（创意从业者）
path: "interview_transcripts/creatives_transcripts.csv"
- split: scientists（科研人员）
path: "interview_transcripts/scientists_transcripts.csv"
---

# Anthropic访谈工具（AnthropicInterviewer）

一款可规模化开展人工智能（Artificial Intelligence, AI）驱动的质性研究访谈的工具。本研究借助Anthropic访谈工具，调研了1250名专业人士如何将人工智能融入日常工作，以及他们对人工智能在未来工作中所扮演角色的看法。

**相关研究：** [Anthropic访谈工具：1250名专业人士谈与人工智能协作](https://www.anthropic.com/research/anthropic-interviewer)

## 数据集

本仓库收录了1250名专业人士的访谈转录文本：
- **职场人群（workforce）**（样本量N=1000）
- **创意从业者（creatives）**（样本量N=125）
- **科研人员（scientists）**（样本量N=125）

所有参与者均已签署知情同意书，允许公开发布其原始访谈转录文本。

## 许可证

数据集采用CC-BY协议（CC-BY）发布，代码采用MIT许可证（MIT License）发布。

## 联系方式

如有咨询，请发送邮件至[e-mail]。

## 引用格式
bibtex
@online{handa2025interviewer,
author = {Kunal Handa and Michael Stern and Saffron Huang and Jerry Hong and Esin Durmus and Miles McCain and Grace Yun and AJ Alt and Thomas Millar and Alex Tamkin and Jane Leibrock and Stuart Ritchie and Deep Ganguli},
title = {Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI},
year = {2025},
url = {https://anthropic.com/research/anthropic-interviewer},
}