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Promote the Ethical Use of Data-Driven Technologies

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Course Features

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Duration

21 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

21 hours

Course Description

The greatest danger in emerging technology is the perpetuation bias in automated technologies that are dependent on data sets. Unintentional or intentional, solutions that are racial, ethnic, or demographically biased can lead to social and economic inequalities. This course is one of five in the Certified Ethical Emerging Technologist professional certificate. It is intended for learners who want to promote ethical use of data-driven technology. Students will be able to understand the characteristics of emerging technologies and how they can help them create data-driven solutions. Learn about the different types of bias and popular ethical theories that can be applied to emerging technologies. Also, you will examine legal privacy and legal concepts in relation to technology such as machine learning, artificial intelligence, and data science. The course teaches you how to identify which types of bias can cause the most risk and what principles you can use to respond strategically to ethical considerations.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Advocate for the importance of risk evaluation in emerging technologies.

Assess the potential risks of bias.

Protect data privacy with ethical and legal standards.

Distinguish between artificial intelligence and data science concepts.

Course Accreditations

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