Ethics in the Age of AI

As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action

• Define predictive models and analyze corporate applications
• Identify algorithm use in everyday contexts
• Examine algorithmic bias and methods to mitigate predictive bias
• Identify data vulnerabilities and analyze privacy violations

• Basic computer and internet skills
• Ability to read instructions and complete activities in English