Detecting, Mitigating, and Monitoring Bias
In this chapter, we’ll analyze leading bias identification and mitigation strategies for large vision, language, and multimodal models. You’ll learn about the concept of bias, both in a statistical sense and how it impacts human beings in critical ways. You’ll understand key ways to quantify and remedy this in vision and language models, eventually landing on monitoring strategies that enable you to reduce any and all forms of harm when applying your machine learning (ML) models.
We will cover the following topics in the chapter:
- Detecting bias in ML models
- Mitigating bias in vision and language models
- Monitoring bias in ML models
- Detecting, mitigating, and monitoring bias with SageMaker Clarify
