The Digital Transformation of Decision-Making refers to the way in which algorithms, data, and artificial intelligence (AI) affect markets and society, changing democratic processes, commercial value chains, public administration, and how public values are being realized – or challenged. We will focus on automated decision-making (ADM) systems, which are set to replace human decision makers in a range of areas, from justice, to media, commerce, health and labor. ADM shifts decision-making power and infrastructure to entities that produce, collect and aggregate data, build models and optimize algorithms. This creates new dependencies on (commercial) technology companies that harbor the unique expertise, innovation and control over data needed for ADM, and new challenges for the governance of decision-making.
The overarching research question for the research initiative is: What are the normative implications of the shift from human to automated decision-making, focusing particularly on the role of platforms and data as key actors and commodity in this process.
The initiative consists of 3 interrelated research clusters:
Research questions the initiative seeks to address include: