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.
Brief: Advancing gender equality through partnerships for gender-responsive artificial intelligence
Artificial intelligence (AI) can advance gender equality but may also perpetuate inequalities if not managed properly. This UN Women publication emphasizes the need for inclusive, safe, and equitable AI systems. It highlights the private sector's role in achieving this and calls for partnerships to support women in AI leadership, foster opportunities for women entrepreneurs, bridge the gender digital divide, and ensure AI policies integrate gender dimensions.
If AI is the future, gender equity is essential | NetHope
As the world faces many serious challenges — from climate change and poverty to displacement and social injustice – women and girls are key to tackling those issues and shaping future prosperity for all. Artificial Intelligence (AI), along with other digital tools, has the potential to help us address those challenges and open new opportunities. Seizing that potential requires us to take meaningful action to mitigate the risks AI poses to women and girls, and to use AI to advance gender equity.
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.
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.
A Growing Gender Divide in the AI Economy — The Honest Economist
The article argues that AI is reshaping gender inequality even before the pay gap visibly widens. Women are more concentrated in clerical and administrative roles where AI can restructure work, while men are more concentrated in technical, AI-complementary roles. Among college graduates, the exposur
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.
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 in tech and AI in Europe: Can the region close its gender gap?
AI could be the turning point that finally unlocks women’s full participation in tech in Europe.
Gender Productivity Paradox: Artificial Intelligence Is Failing Women - ICTworks
We're seeing decreasing distributive returns at higher AI exposure levels. Precisely when we should expect technology to be most equalizing.
AI Is the Future—But Where Are the Women?
Just 12 percent of machine learning researchers are women—a worrying statistic for a field supposedly reshaping society.
The Gender Gap in AI: Why We Need More Women in Artificial Intelligence - EIT Campus
Artificial intelligence is shaping our future, but who is shaping AI? In this blog, we explore the insights of Megi Mejdrechová, co-founder of RoboTwin, a…
The Beauty of AI and Why AI Needs More Women
While women remain underrepresented in the Artificial Intelligence (AI) and tech workforce, their participation is considered crucial for developing the right AI for tomorrow.
Women, AI, and the Power of Supporting Communities: A Digital Gender-Support Partnership
With the rapid development of the fields of data science and artificial intelligence, a dichotomy presents itself: more professionals are needed to fulfill the growing workfoce demand, and women continue to be underrepresented in all computer science-related jobs. Women AI Academy addresses both issues by inspiring, enabling, and targeting the employment of women in data science and artificial intelligence.
The Large Gender Gap in Who Uses AI
A recent study finds that AI usage tilts heavily toward men. Part of the reason: Women worried they might be penalized for using AI.
The AI gender gap | Datawrapper Blog
In this Weekly Chart, we examine the gender gap in AI adoption.
A Proposed Conceptual Framework for Understanding Gender Disparities in Artificial Intelligence Adoption
This conceptual paper investigates the issue of gender disparities in artificial intelligence adoption within organizational settings. It highlights the importance of addressing these differences for workplace inclusivity and performance. The problem lies in the unequal of artificial intelligence adoption between male and female employees’ perspectives. The proposed framework is developed through a review of existing literature highlights differences between male and female employees in their artificial intelligence adoption. The methodology is based on conceptual analysis, derive on previous studies to build a comprehensive understanding of gender disparities in artificial intelligence adoption. An Independent T-Test will be used to analyze the disparities between male and female Malaysian sports graduates in testing the hypothesis development. By addressing these disparities, the paper provides insights into creating inclusive strategies that promote gender equity in the workforce. Overall, the findings aim to guide both researchers and practitioners in designing gender equality policies that address challenges to equal adoption of artificial intelligence.