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Why Female-Focused Digital Discovery Matters

Building Blocks Of A.I.

Who you are and what you search for is the information that builds Artificial Intelligence (A.I.). If there isn't an equitable balance in both the individuals searching and the type of content found, then the A.I. output WILL be unequal.

It Starts Offline

Unequal search online begins with inequality offline. For instance, online advertising can be prohibitively expensive. If you are struggling with investment or sales offline there is no revenue to focus online. And, of course, if a group's products and services don't even make it online they are excluded from A.I.

Unequal Mobile Access

More than 4 billion people use search on a mobile device. And yet 234 million fewer of them are women. If search behavior is a basis for A.I. then having women 7% less likely to own a mobile phone or 15% less likely to use search is a big problem.

Invisible Leaders

Did you know that women make up just 19% of Wikipedia biographies? And about 25% of those are tagged for deletion? If a large source of data such as Wikipedia is light on female profiles then search results are not painting an equal picture of the world. That's not true 'intelligence'.

Our goal is to disrupt, educate and call out the problem while showing how it can be done differently — because the crisis of 'female discoverability' online will impact generations to come.
Shannon Edwards
Founder, FromAtoSHE®

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