Computing systems and technologies fundamentally impact the lives of most people in the world, including how we communicate, get information, socialize, and receive healthcare. This course is the second of a three course sequence that examines ethical issues in the design and implementation of computing systems and technologies, and reflects upon the broad implication of computing on our society. It covers algorithmic bias in machine learning methods, professional ethics, and issues in the tech workplace.

Ethical Issues in AI and Professional Ethics

Ethical Issues in AI and Professional Ethics
This course is part of Computing, Ethics, and Society Specialization

Instructor: Bobby Schnabel
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What you'll learn
Describe the causes and prevention of algorithmic bias in machine learning algorithms.
Identify key instances of algorithmic bias, including relations to gender and race.
Describe the main code of professional ethics in computing.
Analyze issues in the culture of the tech workplace and reflect about how to address these in your career.
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There are 5 modules in this course
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This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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