Ethical Issues in AI and Professional Ethics
Completed by Yuran Liu
October 26, 2024
37 hours (approximately)
Yuran Liu's account is verified. Coursera certifies their successful completion of Ethical Issues in AI and Professional Ethics
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.
Skills you will gain
- Category: Generative AI
- Category: Diversity Training
- Category: Cultural Diversity
- Category: Data Ethics
- Category: Ethical Standards And Conduct
- Category: Diversity Programs
- Category: Algorithms
- Category: Case Studies
- Category: Responsible AI
- Category: Diversity Equity and Inclusion Initiatives
- Category: Artificial Intelligence
- Category: AI literacy
