The lack of diverse and representative data is a significant challenge in preventing gender bias in AI. Expanding and diversifying datasets to include varied gender perspectives is crucial for developing fair and unbiased algorithms.
![](/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.