This beginner-friendly course explores the ethical and legal foundations of using Generative AI in software engineering. Learn key ethical frameworks, understand common types of bias in AI-generated code, and explore their real-world impact on development. Delve into legal considerations like data privacy, transparency, explainability, and compliance. Through real case studies including racial bias in facial recognition and data breaches discover strategies to build fair, responsible, and legally compliant AI systems.
Ethics in GenAI for Software Engineering Training
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Ethics in GenAI for Software Engineering Training
This course is part of AI-Powered Software Development Certification Specialization
Instructor: Priyanka Mehta
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand key ethical frameworks for responsible AI development
Identify and mitigate bias in AI-generated software code
Navigate legal considerations like data privacy, transparency, and licensing
Apply real-world case studies to build compliant and trustworthy GenAI systems
Skills you'll gain
Details to know
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Recently updated!
August 2025
Assessments
6 assignments
Taught in English
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This course is part of the AI-Powered Software Development Certification 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
Explore the foundations of ethics and bias in Generative AI for software engineering. Learn key ethical frameworks, identify types of bias in AI-generated code, and understand their impact on software development. Discover strategies to mitigate bias through real-world case studies, including racial bias in facial recognition and data privacy breaches. Gain the skills to build fair, responsible, and trustworthy AI-powered software systems.
What's included
8 videos1 reading3 assignments1 plugin
Understand the legal implications and best practices for using Generative AI in software engineering. This module covers key ethical and legal considerations including AI transparency, data privacy, licensing, and compliance. Learn how to ensure explainability, preserve user privacy, and maintain continuous monitoring. Explore real-world examples and adopt best practices to build legally compliant, ethical AI systems.
What's included
10 videos3 assignments1 plugin
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Frequently asked questions
This course is ideal for software engineers, developers, AI practitioners, and anyone involved in building or managing AI-powered software systems.
No prior experience is required. A basic understanding of software development is recommended to follow technical examples and case studies.
You’ll learn key ethical frameworks, how to identify and mitigate bias in AI-generated code, and how to ensure transparency, data privacy, and legal compliance in AI systems.
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