Exploring Algorithmic Bias as a Policy Issue: A Teach-Out

Instructors: Ian Moura +1 more

Skills you'll gain

  •   Law, Regulation, and Compliance
  •   Public Policies
  •   Social Justice
  •   Diversity Awareness
  •   Policy Analysis
  •   Data Ethics
  •   Artificial Intelligence
  •   Algorithms
  • There are 5 modules in this course

    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.

    What is an Algorithm?

    What Does It Mean for an Algorithm To Be Biased?

    Algorithmic Bias and Systemic Bias

    Anticipating and Addressing Algorithmic Bias

    Explore more from Algorithms

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