Women In AI To Watch
It’s been a strange year, to say the least. Despite the total chaos, it’s a critical and exhilarating time to work in Artificial Intelligence. Whether you want to identify election fraud, understand climate change, or improve health care, machine learning is innovating all industries. The global machine learning market is projected to grow from $7.3B in 2020 to $30.6B in 2024, attaining a CAGR of 43%. AI-based processors, integrated memory and networking systems are projected to contribute a large percentage of market growth.
While these machine learning models strive to mirror and predict real life as closely as possible, the people behind these models do not represent the real world. Despite this rapid forecasted growth, women still only make up a measly 12% of the ML workforce. Only a quarter of all STEM workers are female, and even fewer are in positions of leadership. Despite a slight increase in the amount of women in STEM in recent years, the STEM gender gap persists as men enter STEM jobs at a more rapid pace than women.
Maintaining a balanced and diverse workforce is important to create an equitable technological future. As technology permeates all aspects of life and society — and will only continue to do so at a greater capacity than ever before, it’s critical to have a balanced and diverse workforce to think through complex issues that affect society at large. An imbalanced workplace puts teams at risk of translating the bias into the models they work with, and gender is just one of the many areas to tackle.