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Fundamental Rights Impact Assessment for GenAI Projects

Sabrina Palme

In a world increasingly driven by artificial intelligence, the line between technological advancement and fundamental human rights is more important than ever.

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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.

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What's inside

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."
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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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops tangible understanding and hands-on experience in conducting FRIAs, which is valuable knowledge for working in industries like AI-based businesses and policymaking
Provides an understanding of how FRIAs can aid in ascertaining the trustworthiness of GenAI systems, a critical component of their positive implementation in various domains
Taught by Sabrina Palme, an established authority in AI Trustworthiness and Data Governance and recognized for expertise in AI ethics, ensuring the delivery of high-quality instruction
Applicable to professionals who use third-party and in-house Generative AI systems, broadening the course's reach to individuals in technical and non-technical roles
Requires foundational understanding of data protection and information security, potentially posing a barrier for learners without prior exposure to these concepts

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Career center

Learners who complete Fundamental Rights Impact Assessment for GenAI Projects will develop knowledge and skills that may be useful to these careers:
AI Policy Advisor
The Fundamental Rights Impact Assessment for GenAI Projects course is a great way to learn about the ethical and legal considerations of artificial intelligence (AI) systems. This knowledge is essential for AI Policy Advisors, who are responsible for developing and implementing policies that govern the use of AI. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Governance Specialist
AI Governance Specialists are responsible for developing and implementing governance frameworks for AI systems. This includes identifying and mitigating risks, ensuring compliance with laws and regulations, and promoting ethical and responsible use of AI. The Fundamental Rights Impact Assessment for GenAI Projects course can help you gain the knowledge and skills needed to be successful in this role. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Regulatory Affairs Manager
AI Regulatory Affairs Managers are responsible for ensuring that organizations comply with laws and regulations governing AI systems. This includes tracking changes in the regulatory landscape and advising organizations on how to comply with new regulations. The Fundamental Rights Impact Assessment for GenAI Projects course can help AI Regulatory Affairs Managers gain the knowledge and skills needed to be successful in this role. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
Data Protection Officer
Data Protection Officers (DPOs) are responsible for ensuring that organizations comply with data protection laws and regulations. This includes protecting personal data from unauthorized access, use, or disclosure. The Fundamental Rights Impact Assessment for GenAI Projects course can help DPOs understand the risks to personal data posed by AI systems and how to mitigate these risks. The course will also help DPOs understand the legal and ethical frameworks that govern AI development and use.
AI Ethicist
AI Ethicists are responsible for ensuring that AI systems are developed and used in a fair, transparent, and responsible manner. This includes identifying and mitigating the ethical risks of AI systems. The Fundamental Rights Impact Assessment for GenAI Projects course can help AI Ethicists gain the knowledge and skills needed to be successful in this role. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Risk Manager
AI Risk Managers are responsible for identifying and mitigating the risks associated with AI systems. This includes risks to safety, security, privacy, and ethics. The Fundamental Rights Impact Assessment for GenAI Projects course can help AI Risk Managers gain the knowledge and skills needed to be successful in this role. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Auditor
AI Auditors are responsible for auditing AI systems to ensure that they are developed and used in a fair, transparent, and responsible manner. This includes assessing the risks of AI systems and making recommendations for improvements. The Fundamental Rights Impact Assessment for GenAI Projects course can help AI Auditors gain the knowledge and skills needed to be successful in this role. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Compliance Officer
AI Compliance Officers are responsible for ensuring that organizations comply with laws and regulations governing AI systems. This includes ensuring that AI systems are developed and used in a fair, transparent, and responsible manner. The Fundamental Rights Impact Assessment for GenAI Projects course can help AI Compliance Officers gain the knowledge and skills needed to be successful in this role. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
Privacy Lawyer
Privacy Lawyers are responsible for advising organizations on data protection and privacy laws and regulations. This includes helping organizations to develop and implement privacy policies and procedures. The Fundamental Rights Impact Assessment for GenAI Projects course can help Privacy Lawyers gain the knowledge and skills needed to be successful in this role. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Developer
AI Developers are responsible for developing and maintaining AI systems. This includes writing code, testing and debugging systems, and deploying systems to production. The Fundamental Rights Impact Assessment for GenAI Projects course may be useful for AI Developers who want to learn more about the ethical and legal considerations of AI systems. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data. This includes developing and using AI models to make predictions and recommendations. The Fundamental Rights Impact Assessment for GenAI Projects course may be useful for Data Scientists who want to learn more about the ethical and legal considerations of AI systems. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Researcher
AI Researchers are responsible for developing new AI algorithms and techniques. This includes conducting research on AI theory and developing new AI applications. The Fundamental Rights Impact Assessment for GenAI Projects course may be useful for AI Researchers who want to learn more about the ethical and legal considerations of AI systems. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Consultant
AI Consultants are responsible for advising organizations on how to use AI to achieve their business goals. This includes helping organizations to identify and develop AI solutions, and to implement and manage AI systems. The Fundamental Rights Impact Assessment for GenAI Projects course may be useful for AI Consultants who want to learn more about the ethical and legal considerations of AI systems. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
AI Product Manager
AI Product Managers are responsible for developing and managing AI products. This includes defining product requirements, working with engineers to develop the product, and marketing the product to customers. The Fundamental Rights Impact Assessment for GenAI Projects course may be useful for AI Product Managers who want to learn more about the ethical and legal considerations of AI systems. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying AI models. This includes collecting and preparing data, training models, and evaluating model performance. The Fundamental Rights Impact Assessment for GenAI Projects course may be useful for Machine Learning Engineers who want to learn more about the ethical and legal considerations of AI systems. The course will help you understand the different types of AI systems, the potential risks and benefits of AI, and the legal and ethical frameworks that govern AI development and use.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Fundamental Rights Impact Assessment for GenAI Projects.
Provides an introduction to the ethical issues surrounding artificial intelligence and its potential impacts on society.
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Explores the safety and security risks associated with AI, and provides recommendations for mitigating these risks. It covers topics such as AI ethics, AI governance, and AI risk management.
Provides a comprehensive analysis of the legal and policy challenges posed by the development and use of AI. It examines issues such as privacy, freedom of expression, and algorithmic discrimination.
Discusses the challenges of aligning the goals of artificial intelligence systems with human values.
Explores the potential risks and benefits of artificial intelligence and its potential impact on the future of humanity.
Provides a clear and concise overview of artificial intelligence and its implications for society.
This widely used textbook on deep learning, a subfield of AI that is used for tasks such as image recognition and natural language processing.
Provides a broad and non-technical overview of AI and its potential implications for the future of humanity.
Provides a comprehensive and mathematical introduction to machine learning.
Provides a comprehensive and mathematical introduction to sparse modeling, a technique that is used in machine learning to improve model performance and interpretability.
Provides a comprehensive and mathematical introduction to statistical learning, a subfield of machine learning that is used for tasks such as classification and regression.

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