Fundamental Rights Impact Assessment for GenAI Projects (Coursera)

Fundamental Rights Impact Assessment for GenAI Projects (Coursera)

In a world increasingly driven by artificial intelligence, the line between technological advancement and fundamental human rights is more important than ever. “Fundamental Rights Impact Assessment for GenAI projects” is a course that equips you with the skills to navigate the intersection between innovation and our intrinsic rights to privacy, freedom, and equality.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

By the end of the course, you will explore FRIAs’ critical role in achieving the trustworthiness of GenAI systems, analyze factors necessitating FRIAs, and gain practical experience in conducting FRIAs for evaluating AI system ethical and legal compliance.
Immersing in this course is valuable in enabling you to assess the risks of third-party and in-house Generative AI systems, ensure compliance with AI regulations as fundamental rights law, and gain confidence in the use of AI for business purposes.
Success in this course requires you to have a foundational understanding of data protection and information security as well as a basic grasp of GenAI functionality and awareness of challenges such as bias and hallucination.

Syllabus

Fundamental Rights Impact Assessment for GenAI Projects
In a world increasingly driven by artificial intelligence, we're facing a situation where technology can solve some of the greatest challenges of our century and at the same time have a detrimental impact on human rights and freedoms. Through the lens of the Fundamental Rights Impact Assessment, in this course, we'll navigate the balance between innovation and our intrinsic rights to privacy, freedom and equality. The course will be delivered by Sabrina Palme, an AI Trustworthiness and Data Governance specialist, named "100 brilliant women in AI ethics."

Lesson 1: The Critical Role of FRIAs for Trustworthy AI
This lesson commences with an introduction to FRIAs, defining the role they play in attaining trustworthy AI. From this foundation, you will explore the relevance of FRIAs for different types of organizations and applications, and in the context of the regulatory landscape.

Lesson 2: Analyzing FRIA Necessity for GenAI Systems
The lesson equips you with the necessary knowledge and skills to effectively analyze situations that call for the performance of FRIAs when working with diverse GenAI systems. Through an introduction to GenAI systems that define, distinguish, and characterize different types of GenAI, you will explore and analyze specific criteria that necessitate FRIAs.

Lesson 3: Performing a FRIA
In this lesson, you will engage in the practical application of FRIAs against the backdrop of a real-world scenario. You will explore the step-by-step procedure of completing a FRIA on the given template and recognize important considerations throughout the process. This will prepare you to immerse yourself in the hands-on activity that puts your knowledge to the test by performing your own FRIA.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Prompt Engineering for Web Developers (Coursera) Coursera
Scrimba

Prompt Engineering for Web Developers (Coursera)

Not quite getting the results you want from ChatGPT? Wondering how you can use AI language models to your advantage? Then this course is for you! If you’ve spent any amount of time with AI language models like ChatGPT and Google Bard, you may have noticed the results can sometimes be, well, frustrating. When it comes to leveraging AI language models, your output is often only as good as your input. In other words, it’s all about learning how best to communicate your desired results. Effective prompt engineering is the secret sauce for getting the most out of AI.

Sep 14th 2026
3 Weeks
GenAI for Everyone (Coursera) Coursera
Coursera Instructor Network

GenAI for Everyone (Coursera)

This course offers a foundational journey into the world of Generative AI (GenAI), setting the stage for a comprehensive learning path that delves into the nuanced, role-specific applications of AI. Designed to equip learners with essential GenAI knowledge, this primer is the perfect starting point before progressing through a series of courses tailored to various job functions and roles.

Sep 14th 2026
1 Week
Generative AI Primer (Coursera) Coursera
Vanderbilt University

Generative AI Primer (Coursera)

ChatGPT and other large language models are going to be more important in your life and business than your smartphone, if you use them right. ChatGPT can tutor your child in math, generate a meal plan and recipes, write software applications for your business, help you improve your personal cybersecurity, and that is just in the first hour that you use it.

Sep 14th 2026
1 Week
GitHub Copilot: The AI Pair Programmer for Coding (Coursera) Coursera
Edureka

GitHub Copilot: The AI Pair Programmer for Coding (Coursera)

Welcome to the 'GitHub Copilot: The AI Pair Programmer for Coding' course, where you will embark on an insightful journey to develop a profound understanding of the AI principles that power GitHub Copilot's coding assistance. This course is designed to transform your coding practices, leveraging the advanced capabilities of GitHub Copilot.

Sep 14th 2026
1 Week
Violence Against Healthcare (Coursera) Coursera
University of Geneva

Violence Against Healthcare (Coursera)

At the global level, there are many countries marked by violence affecting health care. The 'Health care in danger' project aims to establish practical measures and recommendations that can be implemented on the ground by policy-makers, humanitarian organizations and health professionals. In view of the multiplicity of actors and latitudes concerned, it is essential to be able to make available the tools needed to make informed decisions, guide behaviour in high-risk areas and provide everyone the means to create and optimize the dialogue between humanitarian professionals and health on the one hand and relevant authorities or other armed actors.

Sep 7th 2026
5-12 Weeks
Technologies and platforms for Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Technologies and platforms for Artificial Intelligence (Coursera)

This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.

Sep 14th 2026
4 Weeks
Children's Human Rights - An Interdisciplinary Introduction (Coursera) Coursera
University of Geneva

Children's Human Rights - An Interdisciplinary Introduction (Coursera)

Drawing on the contributions of several academic disciplines including law, psychology, sociology, history, educational and health sciences, economy and anthropology, an interdisciplinary approach guides the student into a selection of critical issues concerning children’s rights. Participants will gain insight relative to the development of this specific human rights category, as well as to the evolution of the challenges faced by children over time and society’s efforts to respond.

Sep 7th 2026
5-12 Weeks
The AI Awakening: Implications for the Economy and Society (Coursera) Coursera
Stanford University

The AI Awakening: Implications for the Economy and Society (Coursera)

This course explores how the advances in artificial intelligence can and will transform our economy and society in the near future. You will hear insights from esteemed AI researchers and industry leaders in technology, economics, and business. The curriculum addresses the technological underpinnings of Generative AI, its profound implications for businesses and the broader economy, and the potential risks associated with AI-driven transformations in the workforce.

Sep 14th 2026
3 Weeks
Quantization Fundamentals (Coursera) Coursera
DeepLearning.AI

Quantization Fundamentals (Coursera)

Generative AI models, like large language models, often exceed the capabilities of consumer-grade hardware and are expensive to run. Compressing models through methods such as quantization makes them more efficient, faster, and accessible. This allows them to run on a wide variety of devices, including smartphones, personal computers, and edge devices, and minimizes performance degradation.

Sep 14th 2026
1 Week