Artificial Intelligence Ethics in Action
Offered By: LearnQuest via Coursera
Course Description
Overview
AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability. Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations. These projects include all the skills you've learned in this AI Ethics Specialization.
Syllabus
- Introduction
- Welcome to the capstone! Get to know a little bit about the projects we will be tackling in this section
- Project 1 - OpenAI: GPT-3 Analysis
- Examining bias in a predictive text model
- Project 2 - Alleghany Screening Analysis
- Understanding fairness issues with sensitive predictions
- Project 3 - Game Theory Algorithm Design
- Predicting ethical issues before they arise in model theory
Taught by
Brent Summers
Related Courses
Human Factors in AIDuke University via Coursera Identify principles and practices for responsible AI
Microsoft via Microsoft Learn Debiasing AI Using Amazon SageMaker
LinkedIn Learning Tech On the Go: Ethics in AI
LinkedIn Learning Stanford Seminar - The FATE of AI Ethics, Anna Bethke
Stanford University via YouTube