Summarize and Evaluate Ethical AI Insights

This course is part of Conjoint to Cluster: Survey Design and Segmentation Specialization

Instructor: LearningMate

Access provided by Campus BBVA

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

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

Shareable certificate

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Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

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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 videosTotal 15 minutes

What are AI-Powered Thematic Summaries?7 minutes
A Tale of Two Prompts: Good vs. Bad Examples8 minutes

2 readingsTotal 13 minutes

Foundations of Prompt Engineering for Qualitative Insights7 minutes
A Framework for Iterative Prompt Refinement6 minutes

2 assignmentsTotal 35 minutes

Hands-On Learning: Your First AI-Augmented Summary30 minutes
Knowledge Check: Principles of AI Summarization5 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.