LATA: Trust in Algorithms in the Age of AI

Trust in Algorithms in the Age of AI

Led by Kimmo Vehkalahti, the project examines trust in algorithmic governance and the phenomenon known as algorithm aversion: people may lose trust in machine decision-making more readily than in human decision-making when an error occurs.

Although algorithms can make administration more efficient and reduce costs, citizens’ mistrust and their demand for near-perfect error-freeness can slow their adoption.

The project investigates whether this tendency is inherent to humans or whether it changes as people gain experience, for example through the spread of large language models and generative AI.