fairness and bias in ai
Fairness in AI refers to ensuring equitable outcomes for all individuals, regardless of their characteristics or demographics, by avoiding discrimination or bias. Bias in AI refers to the systematic and unfair favoritism or discrimination towards certain individuals or groups, which can lead to unfair treatment or perpetuation of social disparities.
Requires login.
Related Concepts (2)
Similar Concepts
- bias and discrimination in ai applications
- bias and discrimination in ai systems
- bias and fairness in ai
- bias and fairness in ai algorithms
- bias and fairness in ai governance
- bias and fairness in ai system control
- bias and fairness in neural networks
- bias in ai
- bias in ai algorithms
- bias in ai facial recognition technology
- bias in ai systems
- discrimination and fairness in ai
- ensuring fairness and transparency in ai algorithms
- fairness and accountability in ai
- fairness in ai algorithms