Emerging technologies, including AI and advanced analytics, offer new opportunities to identify and mitigate gender bias in quality control metrics. By analyzing vast amounts of data, these technologies can help uncover hidden biases and propose more objective measures for assessing quality. However, it's crucial to ensure the algorithms themselves are free from bias, underlining the importance of diverse programming teams.
![](/sites/default/files/default_images/Women%20in%20Tech%20profile%20picture.png)
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.