Ethics in the Age of AI

Delve into the world of artificial intelligence algorithms, their increasing dominance, and the limitations they face in real-world applications. From loan decisions to traffic re-routing, this module explores the ethical implications of machine learning models and discusses strategies to make them more ethically sound.

Explore fundamental issues of fairness and bias in machine learning, crucial as predictive models increasingly influence important decisions such as college admissions and loan approvals. Uncover the various aspects of building more ethical models, addressing human bias and dataset awareness.

Gain insights into fundamental concepts related to the security and privacy of machine learning projects. This module delves into the ethics behind these decisions, examining how to protect users from privacy violations while creating valuable predictive models. It also raises critical questions about business implementation of algorithms and its impact on user privacy and transparency.

Embark on 3 projects that demonstrate your ability to analyze ethical AI across a variety of topics and situations. These projects encompass all the skills acquired during the "Ethics in the Age of AI" specialization, showcasing your critical thinking and analytical abilities in the realm of AI ethics.