DEBIZ (Exam DEB-110): Data Ethics for Business Professionals

Overview

The power of extracting value from data utilizing artificial intelligence (AI), data science (DS), and machine learning (ML) exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms.

Machines make decisions autonomously. So, how do we train them to apply ethical principles as they learn from decisions they make?

This course provides business professionals and consumers of technology with the core concepts of ethical principles, how they can be applied to emerging data driven technologies, and the impact to an organization which ignores ethical use of technology. This course is designed for business leaders and decision makers, including C-level executives, project and product managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who have a vested interest in the representation of ethical values in technology solutions.

Other individuals who want to know more about data ethics are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus® DEBIZ™ (Exam DEB-110) credential.

In this course, you will:

gain fundamental knowledge of what data ethics is, investigate ethical principles, identify sources of ethical risk, and identify business considerations related to data ethics.

Syllabus

• Introduction to Data Ethics
This lesson introduces terminology and ideas that you will revisit throughout the course.
• Applying Ethical Principles
With solid definitions of relevant terms in place, you can begin to apply ethical principles to organizational data.
• Sources of Ethical Risk
Artificial intelligence (AI) and machine learning (ML) algorithms themselves are not the only sources of ethical risk that businesses must monitor and address. This lesson introduces several sources of ethical risks that leaders need to be aware of.
• Business Considerations
Now that you understand what data ethics is, its principles, and the major sources of ethical risk, it’s time to look at other business considerations that are at stake when implementing ethical principles into a data-driven organization that uses emerging technologies to extract value. This lesson covers three additional areas that business professionals will need to take into consideration as they evaluate tradeoffs.
• Completing the Course
You'll wrap things up and then validate what you've learned in this course by taking the credential exam.

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Taught by

Bill Rosenthal

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Subjects

Data Science