Ethical Issues in AI and Professional Ethics
By External Provider
About this course
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. 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
What you will 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.