# Identifying the Prevalence of Gender Biases among the Computing Organizations

arXiv: https://arxiv.org/abs/2107.00212 · HTML: https://mlsanity.com/paper/2107.00212/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Jul 2021.

## Built on by (most cited first, 1 of 1)

- [An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts](https://mlsanity.com/paper/2501.12521/) (2025)

## Abstract (arXiv)

We have designed an online survey to understand the status quo of four dimensions of gender biases among the contemporary computing organizations. Our preliminary results found almost one-third of the respondents have reported first-hand experiences of encountering gender biases at their jobs.