• Classroom
  • Online, Instructor-Led
Course Description

CEET is designed for individuals seeking to demonstrate a cross-industry, multidisciplinary understanding of applied technology ethics that will enable them to navigate the processes by which ethical principles may be upheld within emerging data-driven technology fields such as Artificial Intelligence (AI), Internet of Things (IoT), and Data Science.

Learning Objectives

In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will: describe general concepts, theories, and challenges related to ethics and emerging technologies, identify ethical risks, practice ethical reasoning, identify and mitigate safety and security risks, identify and mitigate privacy risks, identify and mitigate fairness and bias risks, identify and mitigate transparency and explainability risks, identify and mitigate accountability risks, build an ethical organization, and develop ethical systems in technology-focused organizations.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Cybersecurity Management
  • Program/Project Management and Acquisition
  • Risk Management
  • Strategic Planning and Policy