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
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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.
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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
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Reviewed on Apr 5, 2021
The course helped me validate the work I had already accomplished in AI Governance, Algorithmic Impact Assessment, and AI Ethic Principles and Procurement.
Reviewed on May 10, 2024
I understand there a lot useful information around ethical AI, thanks for the course and instructors.
Reviewed on Nov 23, 2022
I have learned a lot of good things about the subject.
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