AI and Bias
Ethics & Safety
Systematic errors or unfair prejudices embedded in AI systems due to training data or algorithmic design.
Detailed Explanation
AI and Bias refers to the systematic errors or prejudices present in artificial intelligence systems resulting from biased training data or biased algorithmic design. These biases can lead to unfair treatment of certain groups, reinforce stereotypes, and affect decision-making processes. Addressing AI bias is crucial to ensure fairness, accountability, and ethical deployment of AI technologies across diverse applications.
Use Cases
- •Implement bias detection tools to ensure AI decisions are fair and unbiased in hiring, lending, or healthcare applications.
Related Terms
Other terms in the Ethics & Safety category