🏠 Hem
Benchmarkar
📊 Alla benchmarkar 🦖 Dinosaur v1 🦖 Dinosaur v2 ✅ To-Do List-applikationer 🎨 Kreativa fria sidor 🎯 FSACB - Ultimata uppvisningen 🌍 Översättningsbenchmark
Modeller
🏆 Topp 10 modeller 🆓 Gratis modeller 📋 Alla modeller ⚙️ Kilo Code
Resurser
💬 Promptbibliotek 📖 AI-ordlista 🔗 Användbara länkar
advanced

Algorithmic Bias Audit Framework

#ethics #machine-learning #bias #data-analysis

Design a comprehensive framework to detect and mitigate bias in a hiring algorithm.

You are an independent auditor for a tech company using an AI-driven resume screening tool. Design a comprehensive quantitative and qualitative framework to audit this model for bias. Your framework should address: 1) Disparate impact analysis across protected classes (race, gender, age), 2) Feature importance analysis to identify proxy discrimination, 3) Counterfactual fairness testing, and 4) Recommendations for mitigation strategies that do not significantly degrade model accuracy. Provide a mock report structure based on hypothetical findings.