The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically. This is the first of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate and it is designed for learners seeking to advocate and promote the ethical use of data-driven technologies. Students will learn what emerging technologies are and how they can be used to create data driven solutions. You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Throughout the course learners begin to distinguish which types of bias may cause the greatest risk and which principles to apply to strategically respond to ethical considerations.
Promote the Ethical Use of Data-Driven Technologies
This course is part of CertNexus Certified Ethical Emerging Technologist Professional Certificate
Instructors: Tania De Gasperis
25,952 already enrolled
Included with 
(240 reviews)
Recommended experience
What you'll learn
Distinguish between artificial intelligence and data science concepts.
Protect data privacy with ethical and legal standards.
Assess the potential risks of bias.
Advocate for the importance of risk evaluation in emerging technologies.
Details to know
Add to your LinkedIn profile
5 assignments
See how employees at top companies are mastering in-demand skills
Build your Machine Learning expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from CertNexus
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
The first module in this course will cover some of the major technologies that are currently emerging in the world today, particularly data-driven technologies. The module will also go over some of the concepts that are fundamental to understanding how these technologies are used, without going into too much technical detail.
What's included
13 videos11 readings1 assignment1 discussion prompt
The second module in this course deals with the concept of privacy as it relates to data-driven technologies. You'll learn about the interaction of data and privacy from both a legal and ethical standpoint, as well as terms and concepts that surround these interactions.
What's included
11 videos8 readings1 assignment1 discussion prompt
This module outlines the concept of bias as it relates to data-driven technologies. In particular, it focuses on the types of biases out there, and how bias in data-driven technologies affects people and societies.
What's included
10 videos7 readings1 assignment1 discussion prompt
This module will cover some of the major theories and concepts that are involved in the field of ethics. It will also tie those theories and concepts to their application in data-driven technologies like AI.
What's included
22 videos2 readings1 assignment1 discussion prompt
This module will cover some of the major ethical principles. It will also demonstrate how to integrate those ethical principles in the organization.
What's included
10 videos4 readings1 assignment1 discussion prompt
You'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.
What's included
2 readings2 peer reviews
Instructors
Offered by
Recommended if you're interested in Machine Learning
Why people choose Coursera for their career
Learner reviews
Showing 3 of 240
240 reviews
- 5 stars
85.47%
- 4 stars
7.46%
- 3 stars
2.07%
- 2 stars
1.24%
- 1 star
3.73%
New to Machine Learning? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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 enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.