- Ethics Of Artificial Intelligence
- Algorithms
- Machine Learning (ML) Algorithms
- Predictive Modelling
- data bias
Ethics in the Age of AI
Completed by Jonathan Mwendwa Kelly
April 2, 2021
Approximately 1 months at 10 hours a week to completeJonathan Mwendwa Kelly's account is verified. Coursera certifies their successful completion of LearnQuest Ethics in the Age of AI Specialization.
Course Certificates Completed
Artificial Intelligence Algorithms Models and Limitations
Artificial Intelligence Data Fairness and Bias
Artificial Intelligence Privacy and Convenience
Artificial Intelligence Ethics in Action
What you will learn
Define predictive models and analyze how companies use them
Identify how learning algorithms are used in everyday life
Examine the ability of algorithms to influence and decide human behavior in biased ways, and methods to avoid predictive bias
Identify vulnerabilities in public data sets and analyze algorithmic privacy violations
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Artificial Intelligence Algorithms Models and Limitations
LearnQuest
Taught by: Brent Summers
Completed by: Jonathan Mwendwa Kelly by April 2, 2021
Artificial Intelligence Data Fairness and Bias
LearnQuest
Taught by: Brent Summers
Completed by: Jonathan Mwendwa Kelly by April 2, 2021
Artificial Intelligence Privacy and Convenience
LearnQuest
Taught by: Brent Summers
Completed by: Jonathan Mwendwa Kelly by April 2, 2021
Artificial Intelligence Ethics in Action
LearnQuest
Taught by: Brent Summers
Completed by: Jonathan Mwendwa Kelly by April 2, 2021