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.
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.
Overview
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.
Taught by
Sabrina Palme
