During a panel conversation we will dive into the impact the increased use of machine learning and AI has on doing research and the scientific method. What role do explainability and reproducibility play in doing 'good' research? In discussion with a diverse panel consisting of scientists, engineers and philosophers (hopefully, if we get all our guests to agree) we will discover what is necessary for research using AI/ML to mature into a professional and responsible practice.

1. Duuk Baten & Yue Zhao
24 May, 2023
Responsible AI: the
epistemology of using ML
as a research method

2. NASA

3. the philosophical study of the nature, origin,
and limits of human knowledge. The term is
derived from the Greek epistēmē (“knowledge”)
and logos (“reason”), and accordingly the field is
sometimes referred to as the theory of
knowledge.
EPISTOMOLOGY
Encyclopaedia Britannica

4. Accelerating the productivity of research
could be the most economically and
socially valuable of all the uses of artificial
intelligence (AI).
OECD - Committee For Scientific And Technological Policy, 2023

5. Responsible AI at SURF
We investigate upcoming AI technologies in collaboration with our
members and partners.
Doing infrastructure, consulting/support, experiments/pilots, and
knowledge sharing
Research Education (IT) Operations
Responsible AI
AI
More info:
surf.nl/en/artificial-intelligence
or ai@surf.nl.
www.menti.com
5652 3231
Responsible AI in research
survey

6. Our experts today
Dina Babushkina (UT)
Assistant Professor in Philosophy of
Technology
Matthias Möller (TUD)
Associate Professor in Numerical Analysis
Elena Ranguelova (NLeSC)
AI Technology Lead at eScience Center
Benjamin Sanderse (CWI)
Head of Scientific Computing
Group at CWI
Athanasios Votsis (UT)
Assistant Professor in
Sustainability of Complex Adaptive
Systems

7. Different approaches towards science?
Machine learning?

8. Contact
8
Duuk Baten
Advisor Responsible AI, duuk.baten@surf.nl
Yue Zhao
Machine Learning Advisor, yue.zhao@surf.nl
surf.nl/en/artificial-intelligence
or ai@surf.nl for questions
The program in 4 bullet points:
• AI in education (pilots, experimentations, …)
• AI in research (infrastructure, NN acceleration, …)
• AI in operations (dynamic allocation, pred maintenance, …)
• Responsible AI (sustainability, robustness, …)