Gender bias in healthcare is a well-recognised issue. From diagnosis to drug development and treatment, the modern healthcare system has been shown to advantage men over women.
Responsibly designed artificial intelligence (AI) and machine learning algorithms have the potential to overcome gender bias in medicine. However, if machine learning methods are implemented without careful thought and consideration they can lead to the perpetuation and even accentuation of existing biases.
How can we develop technology in a way that prevents rather than perpetuates bias? This blog from Babylon highlights 4 key principles that can help.