Coursera
Free Online Course (Audit)
English
Paid Certificate Available
6 weeks long, 21 hours worth of material
selfpaced
Overview
Class Central Tips
The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically.This is the first of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate and it is designed for learners seeking to advocate and promote the ethical use of data-driven technologies. Students will learn what emerging technologies are and how they can be used to create data driven solutions. You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Throughout the course learners begin to distinguish which types of bias may cause the greatest risk and which principles to apply to strategically respond to ethical considerations.
Syllabus
- Identify Data-Driven Emerging Technologies
- The first module in this course will cover some of the major technologies that are currently emerging in the world today, particularly data-driven technologies. The module will also go over some of the concepts that are fundamental to understanding how these technologies are used, without going into too much technical detail.
- Examine Legal and Ethical Privacy Concepts as they Relate to Data-Driven Technology
- The second module in this course deals with the concept of privacy as it relates to data-driven technologies. You'll learn about the interaction of data and privacy from both a legal and ethical standpoint, as well as terms and concepts that surround these interactions.
- Examine Types of Bias
- This module outlines the concept of bias as it relates to data-driven technologies. In particular, it focuses on the types of biases out there, and how bias in data-driven technologies affects people and societies.
- Examine Common Ethical Theories
- This module will cover some of the major theories and concepts that are involved in the field of ethics.It will also tie those theories and concepts to their application in data-driven technologies like AI.
- Examine Ethical Principles that Apply to Data-Driven Technology
- This module will cover some of the major ethical principles. It will also demonstrate how to integrate those ethical principles in the organization.
- Apply What You've Learned
- You'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.
Taught by
Tania De Gasperis, Megan Smith Branch, Renée Cummings, Eleanor 'Nell' Watson and Aaron Hui
