Name: Ethical AI
Price: -1 USD

Ethical AI

Overview

Dive into ethical AI principles including fairness, transparency, bias reduction, and governance. Apply practical skills to develop responsible AI systems that promote trust and accountability.

Syllabus

Introduction to Ethical AI

Learn the fundamentals of AI Ethics, including the definitions, history, context, and stakeholders involved with this domain.

AI Ethics for Organizations

Learn how to articulate and apply ethical AI for organizations and businesses, including how bias applies to organizations, ethical AI principles and programs, and guardrails.

Identifying Bias Towards Fairness

Learn how to identify the different types of AI biases and harms, and apply harm quantification metrics for evaluating fairness.

Mitigating Bias Towards Fairness

Learn how to mitigate bias, including comparisons between strategies and metrics, and applying techniques toward enhancing fairness.

Transparency, Trust, and Explainability

Learn how to articulate context around AI regulations, data governance, and auditing. Along the way, you will also learn how to apply techniques for transparency and explainability.

AI Ethics for Personalized Budget Prediction

Test your skills for identifying the ethical impact of a use case! You'll perform quantitative analyses, mitigate bias, and create a model card to document the ethical impact and your findings!