Fairness Assessment in AI Systems

Fairness assessment is a critical component of ethical AI development, ensuring algorithms do not reinforce biases or discrimination. Here are key considerations:

• Algorithmic Transparency 🔄
  Auditing decision-making processes to identify disparities across demographic groups. Learn more about transparency standards

• Bias Mitigation Techniques ⚖️
  Methods like reweighting datasets or using fairness-aware models to reduce prejudice. Explore bias detection tools

• Impact Evaluation 📊
  Quantifying fairness metrics (e.g., equal opportunity, demographic parity) through rigorous testing. View case studies