flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Course on Removing Bias in AI Algorithms equips you with practical skills to check lending datasets, spot hidden bias, and assess model performance across different groups. You will learn important fairness measures, legal aspects, and hands-on ways to reduce bias using real tools and tests. Develop strong systems for monitoring, recording, and human checks to ensure automated credit decisions remain fair, open, and responsible over time.
Elevify advantages
Develop skills
- Diagnose AI bias: check lending data, spot hidden problems, and identify risks quickly.
- Apply fairness metrics: select parity, odds, and impact tests that follow the law.
- Mitigate bias in models: adjust data, features, and thresholds for fair credit.
- Explain AI decisions: create model cards, reports, and clear messages for applicants.
- Operationalize ethics: establish monitoring, governance, and human review for AI.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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