CertNexus

Detect and Mitigate Ethical Risks

This course is part of CertNexus Certified Ethical Emerging Technologist Professional Certificate

Taught in English

Some content may not be translated

Renée Cummings
Jennifer Fischer
Eleanor 'Nell' Watson

Instructors: Renée Cummings

15,481 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.5

(81 reviews)

Beginner level

Recommended experience

19 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Summarize common sources of ethical risks.

  • Detect and mitigate ethical risks.

  • Evaluate risk identification and mitigation strategies within the lifecycle.

  • Analyze a sample AI model and create a plan to mitigate any identified risks.

Details to know

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Assessments

6 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(81 reviews)

Beginner level

Recommended experience

19 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Machine Learning expertise

This course is part of the CertNexus Certified Ethical Emerging Technologist Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • 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
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There are 7 modules in this course

The first module in the course lays the groundwork for some concepts that are fundamental to data-driven technologies like artificial intelligence (AI). As an ethicist, you may not be putting these concepts into practice yourself, but you still need to understand them. That way, you'll be able to make more informed judgments and communicate with other people about how best to detect and mitigate ethical risks.

What's included

19 videos4 readings1 quiz1 discussion prompt

This module begins a series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. First, you'll learn more about the risks to users' privacy and private data.

What's included

18 videos3 readings1 quiz1 discussion prompt

This module continues the series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Now, you'll tackle the risks to the organization's accountability.

What's included

17 videos1 reading1 quiz1 peer review1 discussion prompt

This is the next module in the ongoing series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Next up are the related concepts of transparency and explainability.

What's included

16 videos2 readings1 quiz1 discussion prompt1 ungraded lab

This is the penultimate module in the ongoing series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Here, you'll focus on managing risks to fairness and non-discrimination (bias).

What's included

18 videos3 readings1 quiz1 discussion prompt

This is the final module in the series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Lastly, you'll address risks to both safety and security.

What's included

23 videos1 reading1 quiz1 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 peer reviews

Instructors

Instructor ratings
4.7 (14 ratings)
Renée Cummings
CertNexus
5 Courses27,379 learners
Jennifer Fischer
CertNexus
2 Courses15,917 learners
Eleanor 'Nell' Watson
CertNexus
3 Courses23,150 learners

Offered by

CertNexus

Recommended if you're interested in Machine Learning

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4.5

81 reviews

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NB
5

Reviewed on Jul 29, 2023

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