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.
Ethics of Generative AI
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Master AI ethics foundations, data privacy principles, and GDPR compliance.
Implement Explainable AI (XAI) techniques to enhance model transparency.
Analyze regulatory, societal, and labor market impacts of Generative AI.
Apply ethical frameworks to real-world AI applications across industries.
Skills you'll gain
- Data-Driven Decision-Making
- Accountability
- Compliance Management
- Generative AI
- Data Ethics
- Regulatory Requirements
- General Data Protection Regulation (GDPR)
- Business Ethics
- Artificial Intelligence
- Data Security
- Regulatory Compliance
- Regulatory Affairs
- Information Privacy
- Ethical Standards And Conduct
- Personally Identifiable Information
- Social Sciences
- Healthcare Ethics
Details to know
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Recently updated!
May 2025
Assessments
9 assignments
Taught in English
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There are 3 modules in this course
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.
What's included
14 videos1 reading3 assignments
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.
What's included
8 videos3 assignments
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.
What's included
5 videos3 assignments
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Instructor
Offered by
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Northeastern University
Duke University
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Frequently asked questions
The Generative AI Ethics course is designed to help professionals understand and apply ethical principles in AI development. It covers topics like data privacy, transparency, regulatory frameworks, and Explainable AI to ensure responsible AI use.
The five key ethics of AI typically include fairness, accountability, transparency, privacy, and safety. These principles guide responsible AI development and help ensure systems are unbiased, explainable, and aligned with human values.
Top certifications for Generative AI include Simplilearn’s Generative AI programs, Google’s AI certification, and courses from DeepLearning.AI. The best option depends on your career goals, whether focused on ethics, engineering, or applied use cases.
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Financial aid available,