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):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.