
Partner
Year
2022-2023
We developed an innovative Explainable AI (XAI) knowledge base platform that transforms medical research by bridging technological complexity and interdisciplinary understanding. By mapping intricate networks of human and non-human actors, we provide transparent, ethically-informed insights that redefine how AI can be interpreted and utilized in cancer research and personalized medicine.

We employed a unique Science and Technology Studies (STS) perspective that went beyond traditional research methodologies. Through Actor-Network Theory, we traced the complex interactions between human and non-human actors, revealing how technological innovations and scientific knowledge are co-produced. Our approach transformed AI from a mere tool into an active participant, illuminating the intricate networks that generate, translate, and mediate scientific understanding in medical research.



