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.

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

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

Instructor: Bill Rosenthal
Access provided by Xavier School of Management, XLRI
Gain insight into a topic and learn the fundamentals.
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
In this course, you will identify ethical principles related to data, along with sources of risk and business considerations related to data ethics.
Skills you'll gain
- Human Centered Design
- Artificial Intelligence
- Information Privacy
- Accountability
- Business Ethics
- Ethical Standards And Conduct
- Data Ethics
- Business Strategy
- Decision Making
- Responsible AI
- Law, Regulation, and Compliance
- Sustainable Development
- Emerging Technologies
- Medical Privacy
- Legal Risk
- Artificial Intelligence and Machine Learning (AI/ML)
- Safety and Security
Details to know

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Assessments
1 assignment
Taught in English
Recently updated!
December 2025
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There are 5 modules in this course
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