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Exploring Algorithmic Bias as a Policy Issue
Coursera
Course
Unknown

Exploring Algorithmic Bias as a Policy Issue

Johns Hopkins University

This Teach-Out explores algorithmic bias and its social impact, encouraging policymakers to recognize and address fairness issues in algorithm deployment.

Unknown5 weeksKK, UZ, English

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

What You'll Learn

  • Participate in discussions on algorithmic bias
  • Inform others about how algorithms perpetuate disparities
  • Identify algorithms in use and assess their impact
  • Connect algorithmic use to justice and equity concepts

Prerequisites

  • Basic computer and internet skills
  • Ability to read course instructions in English and complete short exercises

Instructors

I

Ian Moura

Health Policy Research Scholar

S

Shannon Frattaroli, PhD, MPH

Associate Professor

Topics

Algorithms
Computer Science
Governance and Society
Social Sciences
Machine Learning
Public Policies
Diversity Awareness
Responsible AI
Social Justice
Policy Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الخوارزميات
علوم الحاسوب
السياسات العامة
العلوم الاجتماعية
التعلم الآلي
الوعي بالتنوع
الذكاء الاصطناعي المسؤول
الحوكمة
Social Justice
Policy Analysis

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