Google’s speech recognition is 70% more accurate with male than female voices; car seats, designed to accommodate the male body, protect women worse in the event of an accident. These are just two of the myriad of examples that support the central thesis of this book: the data on which most decisions are based (in organizations, in health, in education, in society in general) are deeply biased to the detriment of women – not by deliberate intention, but by sheer insensitivity of the agents (predominantly male) who collect and process them. And the growing importance of Big Data Analytics only exacerbates the consequences.

A fundamental book by Caroline Criado Perez to understand and tackle the roots of gender inequality and the Financial Times/McKinsey Business Book of the Year Award 2019.

https://www.amazon.com/Invisible-Women-Data-World-Designed/dp/1419729071