Feedback Loops

Biases in AI can be perpetuated and amplified over time through feedback loops. If an AI system's biased decision-making influences the data it subsequently trains on (such as reinforcing certain patterns of behavior), this can lead to increasingly biased outcomes, creating a cycle that's hard to break.

Biases in AI can be perpetuated and amplified over time through feedback loops. If an AI system's biased decision-making influences the data it subsequently trains on (such as reinforcing certain patterns of behavior), this can lead to increasingly biased outcomes, creating a cycle that's hard to break.

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

What Steps Should We Take to Ensure AI Design Is Inclusive of All Women?
Inclusive AI Design
Are Current AI Algorithms Biased Against Women, and How Can We Fix It?
Fairness in AI Algorithms
What Role Do Women Play in Creating Bias-Free AI Algorithms?
Fairness in AI Algorithms
Why Aren't More Women Involved in AI Design, and How Can We Change That?
Inclusive AI Design