AI觉醒星球
Awakening is here
Knowledge File / AI技能杠杆
2026-05-31 0 浏览 会员

趋势解读:Anthropic study finds men use AI coding agents,解读最新研究结论

Anthropic研究显示,社会科学领域男性使用AI编码代理的比例是女性的两倍以上,且存在职业层级和大学排名差距,97%用于数据分析代码生成,多数人对自身生产力乐观但担忧学术系统压力。

SOURCE / AI技能杠杆 MIN / 9 ACCESS / 会员 POST / 2026-05-31 17:42:11

原贴

查看原文
作者:Matthias Bastian 来源站点:the-decoder.com 原贴时间:

原文

Anthropic has studied how social scientists use AI and found that far more men than women use coding agents, AI tools like Claude Code that write program code automatically. Researchers with typically male names use these tools more than twice as often as those with typically female names. The gap holds even within the same disciplines and career levels. Economists lead in coding agent adoption at 39 percent, while education researchers sit at the bottom with just four percent. PhD students and postdocs use coding AI far more than professors, and researchers at top-25 universities use the tools 40 percent more often than their peers. The dominant use case is code generation for data analysis, at 97 percent. Only a third use AI for writing text. Ad The authors note that gaps by gender, career level, and university rank are all wider for coding agents than for general AI use. Ad DEC_D_Incontent-1 Respondents are optimistic about AI's effect on their own paper output: 88 percent rate it above 5 on a 10-point scale, and half rate it at 8 or higher. Coding agent users are even more optimistic than others. But 70 percent of respondents are more upbeat about their own productivity than about AI's impact on the social sciences as a whole. The authors suspect researchers worry that more papers could overload the peer review system, intensify competition for attention, and worsen existing problems like selective reporting and risk-averse, incremental research. Ad That concern tracks with what's already happening in other fields. In biomedical research, AI-hallucinated citations are creeping into papers that shape clinical guidelines , with fabrication rates jumping more than twelvefold since 2023. Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.

中文翻译

Anthropic研究了社会科学家如何使用AI,发现使用编码代理(如Claude Code等自动编写程序代码的AI工具)的男性远多于女性。具有典型男性名字的研究者使用这些工具的频率是典型女性名字的两倍以上。即使在相同学科和职业层级内,这种差距依然存在。经济学家在编码代理采用率上领先,达39%,而教育研究者则垫底,仅4%。博士生和博士后使用编码AI的频率远高于教授,前25名大学的研究者使用这些工具的频率比同龄人高40%。主要用例是用于数据分析的代码生成,占97%。只有三分之一的人使用AI撰写文本。作者指出,编码代理在性别、职业层级和大学排名方面的差距均大于通用AI使用。受访者对AI对自身论文产出的影响持乐观态度:88%的人评分高于5分(10分制),半数人评分8分或更高。编码代理用户比其他用户更为乐观。但70%的受访者对自己生产力的乐观程度高于对AI对整个社会科学影响的乐观程度。作者怀疑研究者担心更多论文可能会使同行评审系统超负荷,加剧注意力竞争,并恶化现有问题,如选择性报告和规避风险、渐进式研究。这一担忧与其他领域已发生的情况一致。在生物医学研究中,AI幻觉引用正在渗透进塑造临床指南的论文,自2023年以来捏造率上升了十二倍以上。

核心信息

Anthropic研究显示,社会科学领域男性使用AI编码代理的比例是女性的两倍以上,且存在职业层级和大学排名差距,97%用于数据分析代码生成,多数人对自身生产力乐观但担忧学术系统压力。

  • Anthropic研究发现男性使用编码代理频率是女性两倍以上。
  • 经济学家采用率最高(39%),教育研究者最低(4%)。
  • 博士生和博士后使用率远高于教授,顶尖大学高40%。
  • 主要用途是数据分析代码生成(97%),仅1/3用于写作。
  • 研究者对自身生产力乐观,但担忧学术系统超负荷。
试看内容

成为会员查看完整内容

你已经看到了这篇内容的前置整理,剩余深度部分仅对会员开放。

详细解读 信息差价值 参考来源
成为会员查看完整内容
上一篇 趋势解读:Anthropic 开发者分享 Claude Code「理解验证」工作流,解读最新 AI 进展 下一篇 趋势解读:AI search agents often confirm what they already,评估 LLM Agent 表现