Understanding Bias in Data Bootcamp
2 Courses | 3h 26m 46s
1 Book | 4h 50m
Welcome to the Understanding Bias in Data Bootcamp channel! Examples of injustice will often make the news, but the roots of the sensational have their foundation in the mundane. Increasingly, the technology we create and the decisions we make are grounded in data. From healthcare to economics to facial recognition to self-driving cars, the who and how of the underlying code and analysis has an instrumental impact on our everyday lives. Too often, that impact can be disproportionately harmful to vulnerable and marginalized people. Join Princeton University’s Dr. Ruha Benjamin and Data Society’s Merav Yuravlivker and Amazon Robotics’ Matthew Finney for an insightful two day Bootcamp: Unlock an understanding of the kinds of bias that exist in data and artificial intelligence. Understand the impact that unconscious bias can have. Take action by grasping the role you can play as a technologist to identify and tackle bias.
Understanding Bias in Data Bootcamp: Session 1 Replay
3 videos | 1h 22m
This is a recorded Replay of the Understanding Bias in Data Live session that ran on September 29th at 11 AM ET. In this session, Dr Ruha Benjamin, Associate Professor of African American Studies, Princeton University presents her keynote.
Understanding Bias in Data Bootcamp: Session 2 Replay
2 videos | 2h 4m
This is a recorded Replay of the Understanding Bias in Data Live session that ran on September 30th at 11 AM ET. In this session, Merav Yuravlivker and Matthew Finney discuss the impact of biased data with use cases and examples, the different types of biased data and how can we recognize it, how can we identify bias in data, and what can we do about it.
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BookUnderstand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists
This book helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms.