An Introduction to Dataset Bias

Add to your list(s) Download to your calendar using vCal

• Daniela Massiceti, Microsoft Research
• Monday 22 November 2021, 17:30-18:30
• Zoom.

If you have a question about this talk, please contact .

Large datasets are a fundamental part of current machine learning (ML) pipelines, however, biases often find their way into these datasets and can have serious consequences if left unaddressed. This talk will dive right in with an introduction to dataset bias and types of bias that are commonly encountered in ML systems. Next, we’ll unpick some examples of what can happen when it’s left unaddressed, and finally we’ll look at an overview of approaches that can be used to tackle it. Join in to learn more about dataset bias and building robust and equitable ML systems.

Please sign up here to receive the zoom link: forms.gle/3eM1mtfNVeSCC7BN8

This talk is part of the CuAI (Cambridge University Artificial Intelligence Society) series.

This talk is included in these lists:

• CuAI (Cambridge University Artificial Intelligence Society)
• Zoom

Note that ex-directory lists are not shown.