Algorithmic Governance

The public services you interact with, from your loan application to predictive policing programs, increasingly rely on algorithmic systems. Despite their growing use, decisions made by these algorithmic systems are often seen as less legitimate. Introducing humans in the loop can increase said legitimacy, although a theory explaining how individuals evaluate algorithmic systems used by the state authorities is still required. The aims to fill this gap by: 

1. Enhancing Understandings of Algorithmic Legitimacy
   AGAPP explores when, why, and how citizens assign legitimacy to algorithmic systems of governance.
    
2. Pioneering a legitimation heuristic model 
   AGAPP breaks new ground by extending heuristic assessment models to legitimacy research.