Ethics of Generative AI

Übersicht

This comprehensive Foundations of Ethical Generative AI course equips you with the skills to build responsible, transparent, and regulation-ready AI solutions. Begin by mastering core AI ethics principles, understanding ethical concerns, and learning data privacy frameworks like GDPR.

Progress into solving transparency challenges by implementing Explainable AI (XAI) techniques and using tools like DALEX for model evaluation. Advance further into analyzing the regulatory, societal, and labor market impacts of Generative AI through real-world case studies in critical domains such as hiring, finance, and healthcare.

To be successful in this course, you should have a foundational understanding of AI concepts, data handling, and familiarity with programming or data science workflows. By the end of this course, you will be able to:

- Understand Ethical AI Foundations:

Learn ethical concerns, frameworks, and data privacy regulations - Build Transparent AI Systems:

Address the black box problem using Explainable AI (XAI) methods - Analyze GenAI’s Societal Impact:

Study real-world impacts and regulatory needs across industries - Apply Responsible AI Practices:

Implement ethical frameworks to drive trustworthy AI solutions Ideal for AI practitioners, data scientists, developers, and compliance professionals focused on building ethical, scalable, and impactful Generative AI systems.

Lehrplan

• Foundations of Ethical Generative AI
Master the foundations of ethical Generative AI with this comprehensive module. Learn key concepts, ethical concerns, and frameworks guiding responsible AI development. Explore critical data privacy principles, GDPR compliance, and challenges in data collection. Understand how to safeguard privacy in AI systems and apply ethical practices through real-world GenAI use cases and challenges.
• Transparency & Explainability in Generative AI
Explore transparency and explainability in Generative AI with this in-depth module. Understand the "black box" challenge in GenAI systems and its ethical implications. Learn about Explainable AI (XAI), how to implement it, and techniques for model transparency. Gain hands-on experience with tools like DALEX to interpret GenAI models and build trustworthy, transparent AI applications.
• Regulatory, Societal, and Ethical Impacts of Generative AI
Understand the regulatory, societal, and ethical impacts of Generative AI in this insightful module. Explore why regulatory frameworks are essential as GenAI reshapes industries and the labor market. Analyze real-world case studies in hiring, finance, and healthcare to see how ethical AI practices can drive responsible innovation and protect critical sectors.

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Unterrichtet von

Priyanka Mehta

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Fachgebiete

Computer Science