Data scientists should actively work to identify and mitigate gender biases in algorithms and data sets. This includes ensuring diversity in training data and regularly auditing algorithms for bias. Raising awareness about the impact of biased algorithms is essential for promoting fairness in data science technologies.
- 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.