







Invisible Women: Exposing Data Bias in a World Designed for Men is a 2019 book by British feminist author Caroline Criado Perez. The book describes the adverse effects on women caused by gender bias in big data collection.
Women portrayed as younger than men online, and AI amplifies the bias - Haas News | UC Berkeley Haas
In a sweeping study published today in Nature, researchers at UC Berkeley Haas, Stanford, and Oxford/Autonomy University documented extensive age and gender distortion across online media—and found that common algorithms are amplifying the bias.

Artificial Intelligence and gender equality | UN Women – Headquarters
The world has a gender equality problem, and Artificial Intelligence (AI) mirrors the gender bias in our society. Although globally more women are accessing the internet every year, in low-income countries, only 20 per cent are connected. The gender digital divide creates a data gap that is reflected in the gender bias in AI.

Artificial Intelligence and Its Unique Threat to Women | Capitol Technology University
With the rise of artificial intelligence, the world is undergoing a big transformation. However, technology has been seen to display biases – and for women, this presents a complex set of challenges.

Data Feminism
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.

AI needs to deal with gender bias - or it will never reach its potential - Lenovo StoryHub
Ada Lopez, Global Product Diversity Office, discusses the increasing issue of gender bias in AI, and offers advice to businesses looking to combat this.

Sharing Knowledge Openly: Author Gender, Race/Ethnicity, and Feminist Science
Open science is an increasingly important movement in contemporary social science. Many funders have begun to mandate open practices, newer journals like Socius are open access, and preprint servers have increased readership of paywalled articles. Feminist scholars have written about the values and pitfalls of open research. In this paper, we put those ideas in conversation with each other and empirical data on open-access publishing to develop a feminist framework for thinking about feminist knowledge, data, publishing, and audience. Using a survey of 19,462 social scientists, linked with their entire Web of Science publication history from 2000 to 2023 and all papers posted to SocArXiv, we replicate past work showing that articles by women are less likely to be some types of open access. We extend these findings to scholars of color and feminist scholarship, while also demonstrating a few surprising null results for all three groups.

Report: Where are the women? Mapping the gender job gap in AI
As AI becomes ubiquitous in everyday life, closing the gender gap in the AI and data science workforce matters.

Paid Program: Why More Women Are Needed in AI
When the world of AI isn’t inclusive, it creates biases in what the data shows and how it’s used.

“Women Don’t Need Rescuing”: Navigating the AI Gender Gap in an Industry That’s Obsessed | LBBOnline
Little Black Book, Is the AI gender gap a problem to be solved, a question of control or a strategic advantage? LBB’s Laura Swinton Gupta asks

Facts and Figures 2023 - The gender digital divide
The percentage of men and women using the Internet.

Data Feminism
Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to d...

Women considered better coders – but only if they hide their gender
Researchers find software repository GitHub approved code written by women at a higher rate than code written by men, but only if the gender was not disclosed

The AI Gender Trap: Why Women Face Triple the Automation Risk in the Digital Age
As generative AI transforms the workplace, women face a disproportionate risk of automation—revealing deep inequalities in who builds, controls, and benefits from artificial intelligence.
AI And The Gender Gap: The New Broken Rung Most Women Don’t Know Exists
Most women aren't falling behind in AI because they're hesitant. They're falling behind because no one handed them access. Here's how to close the Exposure Gap.

Women in AI: Numbers Behind the Gender Gap in Tech
How is AI changing the game for women in 2026? From job shifts and personal life-hacks to the rise of female AI founders, explore the unique impact of women in tech today.

Feminist Data Manifest-No
1. We refuse to operate under the assumption that risk and harm associated with data practices can be bounded to mean the same thing for everyone, everywhere, at every time. We commit to acknowledging how historical and systemic patterns of violence and exploitation produce differential vulnerabilities for communities.