Algorithmic Transparency
Ethics & Safety
Unfair treatment of individuals or groups resulting from biased AI algorithms or data.
Detailed Explanation
Algorithmic Discrimination occurs when biased data or algorithms produce unfair treatment toward certain individuals or groups. This can lead to unequal opportunities, biased decision-making, and social inequality. Ensuring fairness involves detecting bias, refining algorithms, and monitoring outcomes to prevent discrimination and promote equitable AI systems across all users.
Use Cases
- •Implementing bias detection and correction ensures fair loan approvals and hiring decisions, reducing discrimination and promoting equitable opportunities in financial and employment sectors.
Related Terms
Other terms in the Ethics & Safety category