The Responsible and Ethical AI for Healthcare Lab (REAiHL) is a collaboration between SAS Institute, Erasmus Medical Center and Delft University of Technology. The lab aims to develop and deploy AI technologies that are safe, transparent, and aligned with ethical principles to improve healthcare outcomes. Through synergistic efforts, the academic (ErasmusMC and TU Delft) and non-academic (SAS Institute) stakeholders will foster collaboration and innovation to advance the ethical use of AI in healthcare.

Our mission

Our mission is to conduct research, design and implement AI systems, and translate the World Health Organization (WHO) ethical principles into clinically (and technically) feasible principles that can guide the development and deployment of AI technologies in healthcare. The WHO has identified six core principles for AI in healthcare, such as a clear allocation of responsibilities and ensuring fairness and applicability for each individual patient. We aim to ensure that the use of AI is aligned with ethical values and principles, including transparency, accountability, and fairness, while also improving healthcare outcomes for patients. We are guided in this work by the Design for Values and Ethics by Design approach that was also endorsed by the WHO as one of the fruitful ways to apply principles to an increasingly digitalized health care. Through collaboration with healthcare professionals, organizations, and regulatory bodies, we strive to promote the responsible use of AI in healthcare and advance the field towards a more ethical and equitable future of patient care.

Research Projects

REAiHL’s research is designed to address various aspects of ethical AI in healthcare, such as privacy, bias, transparency, trustworthiness, explainability, and accountability. Research will be conducted to formulate the concrete design requirements based on the WHO ethical principles, and guide the development and deployment of AI-based healthcare solutions across different clinical settings. Research will be conducted with clinical use cases and bridge the gap between AI technologies and healthcare systems. In addition to responsible design, the lab will also play an important role in demonstrating the clinical added value of developed AI models. To do so, improving systems integration for AI in healthcare may eventually help inform clinicians and patients in the shared decision making process, improve patient outcomes and thereby efficiency of healthcare.


Michel van Genderen is internist-intensivist at Erasmus Medical Center

Diederik Gommers is intensivist at Erasmus Medical Center

Jeroen van den Hoven is professor of ethics and technology at Delft University of Technology

Stefan Buijsman is assistant professor philosophy of technology at Delft University of Technology

Jacobien Oosterhoff is assistant professor in AI for healthcare systems at Delft University of Technology

Reggie Townsend is vice president data ethics practice at SAS

Phaedra Kortekaas is managing director at SAS Benelux

Antonie Berkel is account executive healthcare at SAS