Creation of Unsafe Environments

AI and machine learning systems trained on biased data can contribute to creating or reinforcing unsafe environments for women. For example, online harassment detection systems may fail to recognize or take seriously threats against women if they are not adequately represented in the training data, directly impacting the safety and well-being of women online.

AI and machine learning systems trained on biased data can contribute to creating or reinforcing unsafe environments for women. For example, online harassment detection systems may fail to recognize or take seriously threats against women if they are not adequately represented in the training data, directly impacting the safety and well-being of women online.

Empowered by Artificial Intelligence and the women in tech community.
Like this article?

Training Data Bias

Interested in sharing your knowledge ?

Learn more about how to contribute.

More articles on Training Data Bias

See all

More articles from related categories

Can Empowering Women in AI Development Lead to More Ethical Technology?
Ethical AI Development
Can Effective Regulation Bridge the Gender Gap in AI Technology?
Regulations on AI Bias
What Challenges Do Women Face in Achieving Inclusive AI Design?
Inclusive AI Design
How Can We Leverage AI to Promote Gender Equality in the Workplace?
Fairness in AI Algorithms