Who is eligible for generative AI course?

Anyone with a basic understanding of AI or interest in ethical technology can enroll. The course is ideal for data scientists, developers, AI practitioners, and professionals in tech, compliance, or business roles aiming to work responsibly with AI.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Ethics of Generative AI

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues. Consultez les langues disponibles.

Ethics of Generative AI

Instructeur : Priyanka Mehta

Inclus avec

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

6 heures à compléter

Planning flexible

Apprenez à votre propre rythme

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

6 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Information Privacy
Catégorie : Socioeconomics
Catégorie : Personally Identifiable Information
Catégorie : Model Evaluation
Catégorie : Social Studies
Catégorie : General Data Protection Regulation (GDPR)
Catégorie : Case Studies
Catégorie : Data Ethics
Catégorie : Ethical Standards And Conduct
Catégorie : Law, Regulation, and Compliance
Catégorie : Artificial Intelligence
Catégorie : Regulation and Legal Compliance
Catégorie : AI literacy
Catégorie : Responsible AI

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

9 devoirs

Enseigné en Anglais

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Il y a 3 modules dans ce cours

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.

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.

Inclus

14 vidéos1 lecture3 devoirs

14 vidéosTotal 65 minutes

Learning Objectives2 minutes
What Is Meant by Ethics of GenAI?3 minutes
Ethical Concerns of GenAI5 minutes
AI Ethics Framework5 minutes
AI Ethics Framework: Key Requirements6 minutes
Importance of Ethics in GenAI3 minutes
Data Privacy for Ethical GenAI5 minutes
Elements of Data Privacy4 minutes
Challenges in Data Collection6 minutes
Safeguarding Data Privacy5 minutes
Data Privacy Laws and Regulations5 minutes
Data Privacy Laws and Regulations: General Data Protection Regulation (GDPR)6 minutes
Use Cases5 minutes
Use Cases: Challenges5 minutes

1 lectureTotal 10 minutes

Course Syllabus10 minutes

3 devoirsTotal 70 minutes

Quiz on Understanding the Ethics of Generative AI15 minutes
Quiz on Data Privacy and Ethical Challenges in GenAI15 minutes
Assessment for Foundations of Ethical Generative AI40 minutes

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.

Inclus

8 vidéos3 devoirs

8 vidéosTotal 36 minutes

Black Box in GenAI System4 minutes
How Is the Black Box a Challenge to Ethical GenAI?5 minutes
Use Cases of GenAI Black Box6 minutes
What Is XAI?4 minutes
How to Implement XAI?4 minutes
Model Transparency Techniques3 minutes
XAI Tools4 minutes
Scenario Using DALEX to Evaluate a GenAI Model5 minutes

3 devoirsTotal 70 minutes

Quiz on The Black Box Challenge15 minutes
Quiz on Explainable Artificial Intelligence (XAI)15 minutes
Assessment for Transparency & Explainability in Generative AI40 minutes

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.

Inclus

5 vidéos3 devoirs

5 vidéosTotal 26 minutes

Need for Regulatory Frameworks7 minutes
How Is GenAI Impacting the Labor Market?6 minutes
Case Study on Hiring: Overview5 minutes
Case Study on Finance: Overview4 minutes
Case Study on Healthcare: Overview3 minutes

3 devoirsTotal 70 minutes

Quiz on GenAI’s Impact and the Need for Regulation15 minutes
Quiz on Importance of Ethical Generative AI in Critical Domains: Case Studies15 minutes
Assessment for Regulatory, Societal, and Ethical Impacts of Generative AI40 minutes

Instructeur

Priyanka Mehta

Simplilearn

87 Cours72 183 apprenants

Offert par

Simplilearn

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Foire Aux 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.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.