GET THE FACTS

"Empowering women remains the common denomination and a global imperative."
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- Christine Lagarde, former President, International Monetary Fund

Women and the Economy

Source: 1 Unicef; 2 https://www.cnbc.com/2020/07/01/how-corporate-americas-diversity-initiatives-continue-to-fail-black-women.html; Proceedings of the National Academy of Sciences of the United States “A Network’s Gender Composition and Communication Pattern Predict Women’s Leadership Success”

“Films, news, literature, science, city planning, economics, the stories we tell ourselves about our past, present & future, are all marked - disfigured - by a female-shaped ‘absent presence.’ This is the gender data gap.”

- Caroline Criado Perez, Author, Invisible Women

Male-Default Data Standard Has Created the Gender Data Gap

Flawed Insights

Financial institutions design products as "gender neutral", but women live longer and earn less than men over their careers.

Professional Consequences

Building relevant products with income and life span data could unlock $330B in annual global revenue.

“Instead of eliminating bias, too often these algorithms depend on biased assumptions or data that can actually reinforce discrimination against women & people of color. Our bill requires companies to study the algorithms they use, identify bias in these systems & fix any discrimination or bias they find.”
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- Senator Ron Wyden (D-OR), Algorithmic Accountability Act

Efforts to Address Algorithmic Bias is a Global Endeavor

United States Congress: Algorithmic Accountability Act

European Parliament: A Governance Framework for Algorithmic Accountability & Transparency

Organisation for Economic Co-operation and Development: Sustainable Development Goals Gender Equality

UK House of Commons: Algorithms in Decision-Making