Fairness in ML

◐ learning · kind concept · level 1 · 9h

• Requiere: Model Evaluation · Statistics

• Cita: Barocas et al. — Fairness and ML

Detecting and mitigating bias so a model’s errors don’t fall disproportionately on protected groups. Requires choosing an explicit, often contested, definition of ‘fair’.

Enlaces

• Requiere: Model Evaluation · Statistics
• Cita: Barocas et al. — Fairness and ML