Ethics in GenAI for Software Engineering Training

Übersicht

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.

No prior AI ethics or legal knowledge is required. A basic understanding of software development is recommended.

By the end of this course, you will be able to:

- Explain core ethical frameworks guiding Generative AI development - Identify and mitigate bias in AI-generated software code - Understand legal risks around AI, including data privacy and licensing - Apply best practices to ensure transparency and regulatory compliance - Learn from real-world case studies to design trustworthy AI systems Ideal for software engineers, developers, and AI practitioners seeking to build ethical, bias-aware, and legally compliant GenAI applications.

Lehrplan

• Foundations of Ethics and Bias in Generative AI
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.
• Legal Implications and Best Practices in Generative AI
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.

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Unterrichtet von

Priyanka Mehta

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Fachgebiete

Computer Science