Scholarlink

<p>Curiosity is having its moment in AI engineering. Governments and Big Tech alike frame the trait as a key characteristic of data scientists. This paper offers a qualitative analysis of the perspectives of AI engineers on the importance of curiosity in their profession. The results of this study—which took place at a technology multinational of over 250&#xa0;k + employees—warn that unless curiosity is carefully defined, detached from masculinized interpretations of what it entails, and linked to ethical development practices, the current emphasis on curiosity risks promoting harmful curiosity-based engineering practices. The paper begins by exposing the consequences of curiosity’s configuration within existing corporate and social inequalities. It then reviews theoretical literature on the gendering of skills and attributes in AI engineering. Having synthesized evidence of curiosity’s importance in corporate AI engineering, it draws on new qualitative data to draw out key themes that might be contributing to the gendering of curiosity, before exploring these themes in their wider context through the theoretical literature. It ends by outlining ways that curiosity-based engineering could promote rather than hinder ethical AI.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Curiosity killed the cat? From a masculinized ‘frontier mindset’ to ethical curiosity in AI engineering

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月11日

查看全文
  • Eleanor Drage

摘要

Curiosity is having its moment in AI engineering. Governments and Big Tech alike frame the trait as a key characteristic of data scientists. This paper offers a qualitative analysis of the perspectives of AI engineers on the importance of curiosity in their profession. The results of this study—which took place at a technology multinational of over 250 k + employees—warn that unless curiosity is carefully defined, detached from masculinized interpretations of what it entails, and linked to ethical development practices, the current emphasis on curiosity risks promoting harmful curiosity-based engineering practices. The paper begins by exposing the consequences of curiosity’s configuration within existing corporate and social inequalities. It then reviews theoretical literature on the gendering of skills and attributes in AI engineering. Having synthesized evidence of curiosity’s importance in corporate AI engineering, it draws on new qualitative data to draw out key themes that might be contributing to the gendering of curiosity, before exploring these themes in their wider context through the theoretical literature. It ends by outlining ways that curiosity-based engineering could promote rather than hinder ethical AI.