Whether you're in a technical role wanting to learn more about the legal aspects of AI, or in a legal role wanting to learn more about the technical aspects of AI, this course is for you. By the end of the course, you will have a thorough understanding of AI, it's uses, and the contexts in which it will likely be implemented. We'll explore types of AI, machine learning, the AI development lifecycle, AI governance & risk management, the current and emerging legal landscape surrounding AI, as well as discussions and debates in the field. At the end of each module, an assessment will measure your understanding of the lessons presented. After completion, you should be able to describe foundational concepts of AI systems and their use cases, the impacts of AI, and responsible AI principles; explain how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed; and detail the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
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(199 avis)
Expérience recommandée
Compétences que vous acquerrez
- Catégorie : Data Security
- Catégorie : Governance
- Catégorie : AI Security
- Catégorie : Artificial Intelligence
- Catégorie : Artificial Intelligence and Machine Learning (AI/ML)
- Catégorie : Information Privacy
- Catégorie : Machine Learning
- Catégorie : Responsible AI
- Catégorie : Data Governance
- Catégorie : Computer Security
- Catégorie : Risk Management Framework
- Catégorie : Law, Regulation, and Compliance
- Catégorie : Data Ethics
Détails à connaître
6 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Il y a 6 modules dans ce cours
The term "Artificial Intelligence" conjures up images of sci-fi novels & movies, fascination, and even fear. In this course, we'll break down AI and look at the basics of what it actually is, and how it works. We'll put it in context using an OECD framework, look at how it can be used, explore types of AI, and explain the technology behind it.
Inclus
3 vidéos1 devoir
The requirements for developing AI systems have some similarities with other kinds of development projects. But, there are also a number of things unique to this type of development. In this course, we'll cover how AI 'learns," the AI Development Lifecycle, and the physical requirements for building AI system.
Inclus
3 vidéos1 devoir
AI is an emerging technology, so it's important to examine how it might impact individuals and society, and to discuss the principles under which we can maximize the benefits of it while minimizing harm. In this course, we'll take a look at the various harms AI could cause, and just as important, we'll examine the characteristics of responsibly implemented AI systems.
Inclus
3 vidéos1 devoir
The legal landscape around AI is a bit "Wild West" at the moment. The technology has outpaced legislation, and ethics discussions, but many countries are working on catching up. We'll talk about how existing laws apply to AI, and about emerging legislation across the globe.
Inclus
4 vidéos1 devoir
This module evaluates different AI governance models, explains risk management concepts as applied to AI, identifies planning and scoping activities, discusses the role of testing in AI governance, and details design processes for continual evaluation and improvement of an AI system.
Inclus
4 vidéos1 devoir
In this module, we'll identify security issues unique to AI and privacy issues related to AI. We'll finish out the course and path with a final video wrap up.
Inclus
3 vidéos1 devoir
Instructeur
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199 avis
- 5 stars
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- 4 stars
16,58 %
- 3 stars
6,03 %
- 2 stars
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- 1 star
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Affichage de 3 sur 199
Révisé le 24 août 2025
Very informative course, well-explained and well-conducted with the help of training material
Révisé le 25 déc. 2025
I enjoyed taking this course.
Révisé le 29 sept. 2025
AI security is not just about protecting AI — it’s about protecting people, organizations, and societies that depend on AI.One of the best course.
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