Fairness in Machine Learning: An Introduction. | Online

About this event

As machine learning becomes more integrated into our lives, understanding how these systems affect everyone has never been more important. Unknowingly, we may be experiencing effects of biased models. The consequences of these systems on individuals -- and the brands that implement the technology -- are still largely unknown. Join us for a general introduction on how bias can creep into machine learning models, featuring case studies drawn from healthcare, government, finance, and more. We will also explore measures that might mitigate these emerging risks.

This event is for both technical and non-technical people who have any interest in or influence over machine learning systems. This can include engineers, product managers, or simply anyone looking to understand how machine learning might affect their lives and the lives of those around us.

Takeaways

• A basic understanding of bias in machine learning
• An increased awareness of a model’s implications for both society and the company developing the technology
• The ability to identify where bias may occur in machine learning models
• The first steps needed for model improvements