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Design World recently released its special Engineering Diversity and Inclusion issue, a staff-driven evolution of our popular Women in Engineering issues

Let's address the culture-war issue Welcome to Design World’s Engineering Diversity and Inclusion issue, a staff -driven evolution of our popular Women in

In today's interconnected world, data is hailed as the backbone of progress and innovation. It shapes decisions, policies, and designs across various fields. However, what if the data we rely on is inherently biased, favoring one gender over another? This is the crux of the issue explored in the groundbreaking book, "Invisible Women: Exposing Data Bias in a World Designed for Men" by Caroline Criado Perez.

Women have been socio-culturally hardwired not to speak up, the silence praised as a sign of being ‘good’

Artificial intelligence is generally only as good as the data that it's trained on. However, when data is collected and used in the training of machine learning models, the models inherit the bias of the people building them, producing unexpected and potentially harmful outcomes.