Ementorhub

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.

Skills you'll gain

Machine Learning

Algorithms

Data Ethics

Information Privacy

Cultural Diversity

Diversity Awareness

Generative AI

Artificial Intelligence and Machine Learning (AI/ML)

Social Justice

Artificial Intelligence

Ethical Standards And Conduct

There are 5 modules in this course

This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

Algorithmic Bias

Gender and Race in Computing

Professional Ethics, including Gender and Race in the Tech Workforce

Generative AI and the Future of AI