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URL: https://www.coursera.org/learn/summarize-and-evaluate-ethical-ai-insights?specialization=conjoint-to-cluster-survey-design-segmentation

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Summarize and Evaluate Ethical AI Insights

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Summarize and Evaluate Ethical AI Insights

Included with

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Master AI-driven qualitative analysis and ethical data practices. Learn to summarize data with LLMs and critically evaluate synthetic data use.

Details to know

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Recently updated!

April 2026

Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Conjoint to Cluster: Survey Design and Segmentation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 2 modules in this course

The Summarize and Evaluate Ethical AI Insights innovative course develops cutting-edge skills in AI-assisted qualitative analysis and ethical data practices. Learners will master techniques for using large language models to summarize qualitative data and critically evaluate the ethical implications of synthetic data. Through hands-on application, learners will build advanced capabilities that combine AI tools with ethical considerations to enhance research insights.

In this module, you will learn the practical skills needed to turn large volumes of qualitative text into clear, thematic summaries using AI. We'll dive into the art and science of prompt engineering, moving from basic commands to sophisticated instructions that yield accurate and insightful results. Through hands-on practice, you will learn how to systematically validate AI-generated themes against source material and iteratively refine your prompts to create summaries you can trust and present to stakeholders with confidence.

What's included

2 videos2 readings2 assignments

2 videos•Total 15 minutes
  • What are AI-Powered Thematic Summaries?•7 minutes
  • A Tale of Two Prompts: Good vs. Bad Examples•8 minutes
2 readings•Total 13 minutes
  • Foundations of Prompt Engineering for Qualitative Insights•7 minutes
  • A Framework for Iterative Prompt Refinement•6 minutes
2 assignments•Total 35 minutes
  • Hands-On Learning: Your First AI-Augmented Summary•30 minutes
  • Knowledge Check: Principles of AI Summarization•5 minutes

This module shifts our focus from application to evaluation. You will explore the significant ethical risks associated with using AI to generate synthetic data, including privacy vulnerabilities and the amplification of societal biases. You will learn to analyze data for these risks, using real-world examples like the Apple Card investigation as a guide. The module will empower you to move beyond identifying problems to developing concrete mitigation strategies, ensuring you are prepared to use AI tools responsibly.

What's included

2 videos1 reading2 assignments

2 videos•Total 13 minutes
  • The Double-Edged Sword of Synthetic Data•6 minutes
  • What to Look For: Identifying Bias and Privacy Leaks•7 minutes
1 reading•Total 7 minutes
  • Understanding the Risks: Privacy, Bias, and Fidelity in Synthetic Data•7 minutes
2 assignments•Total 50 minutes
  • Hands-On Learning: Drafting an Ethical Mitigation Plan•20 minutes
  • Final Project: AI Ethics and Application Project•30 minutes

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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 enroll in the course, you get access to all of the courses in the Specialization, 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.

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.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.