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.

Gain next-level skills with Coursera Plus for $199 (regularly $399). Save now.

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
- Law, Regulation, and Compliance
- Artificial Intelligence
- Business Strategy
- Business Ethics
- Data Ethics
- Business Leadership
- Decision Making
- Human Centered Design
- Sustainable Development
- Ethical Standards And Conduct
- Information Privacy
- Medical Privacy
- Artificial Intelligence and Machine Learning (AI/ML)
- Emerging Technologies
- Accountability
- Data Security
- Safety and Security
- Responsible AI
Details to know

Add to your LinkedIn profile
December 2025
1 assignment
See how employees at top companies are mastering in-demand skills

There are 5 modules in this course
This lesson introduces terminology and ideas that you will revisit throughout the course.
What's included
8 plugins
With solid definitions of relevant terms in place, you can begin to apply ethical principles to organizational data.
What's included
7 plugins
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.
What's included
5 plugins
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.
What's included
5 plugins
You'll wrap things up and then validate what you've learned in this course by taking the credential exam.
What's included
1 assignment1 plugin
Instructor

Offered by
Why people choose Coursera for their career




Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,




