Women & Artificial Intelligence

Making AI
accessible
for every
woman

Females in AI is a community dedicated to educating and empowering women at every level, from complete beginners to seasoned professionals, to understand, use, and shape artificial intelligence.

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Carousel · Myter om AI

5 AI myter du skal aflive

Tror du stadig at du skal kunne kode for at bruge AI? Vi aflivede de mest udbredte myter om AI, en slide ad gangen.

Juni 2025
"You don't need a degree
to use AI well."
Article · Everyday AI

5 ways AI can help you save hours every week

Practical tools and workflows anyone can adopt today,no technical background required.

May 2025
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Carousel · AI guide

Det perfekte AI-prompt, trin for trin

5 enkle trin der gør dine prompts skarpere — uanset om du er ny eller erfaren AI-bruger.

Juni 2025
Mie
Karoline
The Founders

Mie &
Karoline

We started Females in AI because we kept meeting brilliant women who felt excluded from the conversation around artificial intelligence. Not because they weren't curious, but because no one was speaking to them.

Our mission is simple: make AI knowledge accessible, relevant, and empowering for every woman, regardless of background or profession.

About Us
The Gap

Why representation
matters now

Read More
22%
of AI roles globally are held by women
12%
of machine learning researchers are women
2×
more likely to be displaced by AI if underrepresented in its design
100%
of women deserve a seat at the AI table
"If women don't shape AI, AI will shape women on someone else's terms."

— Females in AI

Go Deeper

More to explore

All Content
Understanding
Machine Learning
Course · Intermediate

How machines actually learn,the concept behind the hype

Pattern recognition, training data, and why your phone already knows your face.

March 2025
Video · Career

AI skills that will make your CV stand out in 2025

Which competencies employers actually want,and how to get them fast.

February 2025
"AI & Ethics:
the conversation
we must have"
Article · Ethics

Bias in AI,and what we can do about it

When AI systems reflect and amplify existing inequalities, who is responsible for change?

January 2025

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