

We want fair and just access to care, guaranteed for all people!

How? Through research, collaboration, and engagement
Why?
We know that building technology based on artificial intelligence can reflect, and sometimes even worsen, existing inequalities and injustices. We want to identify existing problems and opportunities. Such as the problem that groups of people of color or the elderly are not included in building health AI.
This may mean that the technology, when used in healthcare, works less well for these groups of people. At the same time, people sometimes find it difficult to use computers and technology, while this is increasingly expected of patients and clients in healthcare. AI can help with this in some cases, but sometimes it can also make it more difficult for people to find their way to healthcare.
ELSA Lab AI for Health Equity wants to come up with solutions to these problems, so that healthcare becomes fairer through the use of AI.
What?
- We research what the problems and opportunities are for using AI in healthcare in a way that we can ensure equitable access to care.
- We want to be a diverse place where everyone who wants to help with our mission can collaborate together
- We want to think of ways to ensure that people and groups can be engaged and involved in thinking about the use of AI in healthcare.
Who we are?

Julia van Weert
Professor of Health Communication
I am Julia van Weert, professor of Health Communication at the University of Amsterdam. I’m also the director of the Amsterdam Center for Health Communication/ACHC. My work focuses on how we can promote health by effective communication using digital methods. I am interested in how we can use technology to help people who might struggle with health information, like people with low (health) literacy, patients with a migration background or older patients. I’m also curious about how new technologies like artificial intelligence affect our health and wellbeing.

Anniek de Ruijter
Professor of Health Law and Policy
What I find so interesting about the use of new technology in healthcare, and certainly technology such as Artificial Intelligence is that – because it can be used so widely – it gives us the opportunity to think again about how we actually want to organize it, and whether it is actually fair as it is now. Health law can help with this, because it helps us guide the question of how we can continue to protect values that we still find so important in healthcare, such as trust, human dignity and equal treatment.

Sennay Ghebreab
Professor Socially Intelligent AI
I am a professor of Socially-Intelligent AI at the University of Amsterdam, program director of the Master’s in Computer Science, and founder and scientific director of the Civic-AI Lab. My passion lies in developing and using AI to make society more social and just. In addition to my academic work, I am involved in various committees and boards, including the State Commission against Discrimination and Racism, as well as the Supervisory Board of the Nemo Science Museum.

Somaya Ben Allouch
Professor of Human-System Interaction for Health & Wellbeing
My research endeavors focus on applied research, exploring the development, utilization, and assessment of digital technologies. These encompass robotics and eHealth applications, with a central goal of enhancing individuals’ quality of life. I’m fascinated by understanding how we can tailor digital innovations to align with people’s needs, desires, and expectations, thereby facilitating their integration into our daily routines.

Mahsa Shabani
Associate Professor in Health Privacy Law and Innovation
My aim is to assist policy makers and regulators to have a clear view on the relevant concerns associated with use of new technologies such as digitalization and AI in healthcare and health research. As my background is both in law and bioethics, I enjoy brininging these two fields together in my research and broaden the scope of my analysis.

Maurits van Tulder
Professor of Effciency Research
As a professor specializing in Efficiency Research, my primary objective is to enhance cost-effectiveness within the healthcare sector. A key concern is ensuring optimal allocation of resources to maximize their impact. Equally crucial is the principle of fairness in resource distribution.
In my role as Dean of the Faculty of Behavioral and Movement Sciences at Vrije Universiteit Amsterdam, I am deeply engaged in shaping policy and strategy. One of our key objectives is to leverage AI to advance behavioral and exercise care, making it not only more effective and efficient but also more accessible and equitable. Through targeted research and education initiatives, we aim to harness the potential of AI to drive positive change in these critical areas.

Jesse Aarden
Senior Teacher and Researcher Smart Health and Vitality Lab
In our laboratory, I collaborate closely with students, educators, and researchers to drive the digital transformation of healthcare through targeted practical research. My collective efforts are directed towards developing sustainable healthcare innovations tailored to address the challenges posed by an aging population.
By harnessing the power of healthcare technology and Artificial Intelligence in a responsible manner, together with others I aim to instill confidence among citizens in technological healthcare solutions. My focus lies in creating scalable innovations that prioritize human care where it is most needed. Through this approach, I strive to make meaningful contributions to improving healthcare delivery and outcomes.

Hans Marien
Assistant Professor in Social, Health and, Organisational Psychology
At Utrecht University, I conduct research on how we can use artificial intelligence in healthcare in an ethically responsible and inclusive way, with a particular focus on low literacy. I am the founder of the ELSA Lab AI Approach to Low-Literacy, where we develop AI technologies that meet the needs of people who struggle with complex texts or digital communication. We closely collaborate with the ELSA Lab AI for Health Equity, within which I coordinate the Open Living Lab AI for Health Equity. In this Living Lab, we work together with patient groups, advocacy organizations, and developers of AI applications in healthcare. This approach allows us to create solutions that are not only ethically, legally, and socially responsible, but also better aligned with real-world practice.

James W. Hazel
Senior Researcher at Law for Health and Life
I am a senior researcher at the Law Centre for Health and Life at the Amsterdam Law School. My research explores the flow of genetic and other sensitive personal data within healthcare, research, and consumer ecosystems, with a focus on emerging artificial intelligence applications. I am interested in the intersection of health and the law, exploring how established data-sharing policies and frameworks can responsibly adapt to technological advancements, including AI-driven innovations.

Martijn Schut
Professor Translational AI
I am a professor of Translational AI in Laboratory Medicine (TrAIL) at Amsterdam UMC. Our TrAIL lab is specialized in the research, development and implementation of clinical AI models: we analyse complex, routinely collected medical care data and develop AI applications for patient care. Thoughout all of our work in various medical domains, we have continuous attention for fair, equal and just use of and access to the AI solutions that we develop for healthcare.
Folkert Asselbergs
Professor ACS – Heart Failure & Arrhythmias
Prof. Folkert W. Asselbergs is a cardiologist, Prof of Translational Data Science at the University of Amsterdam, Chair of Amsterdam Heart Center, Prof of Precision medicine at the Institute of Health Informatics, University College London, chair data infrastructure Dutch Cardiovascular Alliance (www.dcvalliance.nl), and associate editor of the European Heart Journal for the section digital innovation. His research program focuses on precision medicine using real-world multi-modal data from electronic health records including free text, ECG and imaging, secondary use of registry data combined with -omics research for drug target discovery and validation, improve CV diagnosis and treatment, and predictive modelling using digital twinning.
Marieke Bak
Assistant Professor Heart Failure & Arrhythmias
Marieke Bak works as assistant professor at the department of Ethics, Law and Humanities. She is a bioethicist with a strong interest in technology and innovation, as well as in international health policy. Her current research focus is on the ethics of data-driven care, which includes the ethical implications of artificial intelligence (AI).
Pim Haselager
Professor Artificial Intelligence
Pim Haselager is a Professor in Artificial Intelligence at Radboud University and, is involved in philosophy, psychology, and artificial intelligence (AI). He researches the societal implications of using AI and neuroscience. How can we ensure the responsible use of new technology?
Researchers involved
Hannah van Kolfschooten, Teacher-Researcher Health Law
Law, Health and Life (University of Amsterdam – Law)
Rolinka Wijne, Associate Professor, Medical Liability Law
Law, Health and Life (University of Amsterdam – Law)
Corrette Ploem, KNMG endowed Professor of Health Technology and Law
Law, Health and Life (University of Amsterdam – Law)
Ilse van der Linden – Researcher in Artificial Intelligence
Civic AI Lab (CAIL) – (University of Amsterdam – Science)
Sara Altamirano – Researcher Information Systems & Inclusive Health
Civic AI Lab (CAIL) – (University of Amsterdam – Science)
Darcy Kim – Researcher Machine Learning & Health
Civic AI Lab (CAIL) – (University of Amsterdam – Science)
Reinout Wiers, Professor of Developmental Psychopathology
Psychology (University of Amsterdam)
Barbara Schouten, Associate Professor of Health Communication
Communication Science (University of Amsterdam)
Annemiek Linn, Associate Professor of Health Communication
Communication Science (University of Amsterdam)
Nida Gizem Yilmaz, University Lecturer Sector Plan – Mental Health – Health Communication
Communication Science (University of Amsterdam)
Leonie Westerbeek, Postdoctoral researcher Health Communication
Communication Science (University of Amsterdam)
Claes de Vreese, University Professor of Artificial Intelligence and Society
University of Amsterdam
Sonia Boender, Senior Researcher & Team Leader – Infectious Disease Epidemiology & Infodemiology
GGD Amsterdam (Infectious Diseases), Vrije Universiteit (Health Sciences), Amsterdam UMC (Infectious Diseases)