If girls aren’t shaping AI, we’re building a broken future. Empowering young women in tech is now a global necessity, not just a matter of fairness.
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.
AI Development Needs More Women. Here’s What Leaders Can Do About It
Only 31% of professionals in AI development are women—learn how female talent can drive accountability, improve accuracy and improve AI's societal impact.
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.
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.
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.
“The more women take part in shaping AI, the more balanced and responsible this techn | Ctech
With the AI revolution still in its relative infancy, leaders from Women in Tech Israel and KPMG say it presents a rare opportunity for women to establish themselves as leaders in a defining new sector. Just as importantly, they argue that to build technology that serves everyone, women must secure their place in the conversation.
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…
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.
Why we need more Women in AI
In an age where artificial intelligence (AI) shapes much of our daily lives, the conversation about diversity in this field has taken on a…
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.
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.
Why women’s leadership matters in the age of AI - I by IMD
AI is reshaping leadership and work. Ensuring women help design and govern it will determine whether the technology advances equity or deepens inequality.
AI is unlocking new leadership paths for women in tech
A side benefit of the booming interest in GenAI is how it presents opportunities to women in tech.
Women Are Avoiding AI. Will Their Careers Suffer? | Working Knowledge
Women are adopting generative AI technology at a significantly lower rate than men, in many cases because women question whether it's ethical to use the tools, according to research by Rembrand Koning and colleagues. If women are shying away from AI, could the gender gap in pay and job opportunities continue to widen?
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.
Don't Let Women Get Left Behind: Why the Future of AI Upskilling Must Be Inclusive
Women still lag in AI adoption at work. The risk is we'll leave talented women behind and hurt business performance. Tips to close the gap.
