Exploring Algorithmic Bias as a Policy Issue: A Teach-Out
This Teach Out does not issue certificates of completion. Algorithms – and algorithmic bias – are making regular appearances in the news, and increasingly,...
About This Course
This Teach Out does not issue certificates of completion. Algorithms – and algorithmic bias – are making regular appearances in the news, and increasingly, are being recognized as a policy issue. But what is an algorithm, exactly? And what does it mean when someone describes an algorithm as biased? This Teach-Out will encourage policy makers, agency leaders, and others in similar positions to identify algorithms that are already in use and make connections to broader ideas about fairness, justice, and equity. After completing the Teach-Out, learners will be able to participate in discussions around algorithmic bias, inform others about how algorithms can perpetuate existing disparities, and take steps to reduce the impact of algorithmic bias on the people and communities they serve.
Topics Covered
Frequently Asked Questions
How much does Exploring Algorithmic Bias as a Policy Issue: A Teach-Out cost?
Visit the Exploring Algorithmic Bias as a Policy Issue: A Teach-Out course page for current pricing and available discounts.
Who teaches Exploring Algorithmic Bias as a Policy Issue: A Teach-Out?
Exploring Algorithmic Bias as a Policy Issue: A Teach-Out is taught by Ian Moura, Johns Hopkins University.
What skill level is Exploring Algorithmic Bias as a Policy Issue: A Teach-Out for?
This course is designed for all levels learners.
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