Udforsk vores viden

Sarah Grevy Got­fred­sen

PhD fellow

Emner
Big data Digitalisering Teknologi Demokrati Misinformation

Primary research areas

Procedural Justice in the Age of AI

Organizations increasingly rely on artificial intelligence to assist and supplement human decision-making. While much important research has assessed the accuracy of such AI decision-making, this line of research takes a different perspective by examining how the decision-making process is perceived in terms of fairness by the individual(s) facing the consequences of the decision

Platform Governance

As platform communication grows, it has become increasingly difficult for human moderators to enforce platform rules at scale. As a potential solution, platforms are turning to large language models (LLMs) as the new rule enforcers. While its developers promise cheaper and faster decision-making, it remains unclear how such a shift might alter users' perceptions of fairness.

What makes a decision-making process feel fair?

Organizations increasingly rely on artificial intelligence to assist and supplement human decision-making. Advances in large language models have accelerated this trend, with their developers promising faster, less costly decision-making at scale comparable to human intelligence. While much important research has assessed the accuracy of such AI decision-making, my line of research takes a different perspective by examining how the decision-making process is perceived by the individual(s) the decision concerns, independent of whether it leads to a favorable outcome. The perceived fairness of a decision-making process, also known as procedural justice, has significant downstream consequences ranging from future rule compliance to perceived institutional legitimacy. I believe that closer attention to how individuals perceive such processes can provide valuable insights into future trust in AI-based decision systems and their impact on institutional legitimacy.