When do people rely on algorithms

By J. Logg. 2016

62 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Manipulating and Measuring Model Interpretability (2018, methodology): “We therefore take a human-centered approach, building on previous psychology and social science research on human trust in models [4, 17, 21] and similar efforts in the machine learning and human-computer interaction communities [2, 6, 8, 13, 15, 23, 24].”
In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020, unknown): “The same results, however, were not seen in other contexts (Logg 2017).”
Resistance to Medical Artificial Intelligence (2019, background): “Yet, in most cases, people do not (Castelo et al. 2018; Logg 2018).”
Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018, background): “There is ongoing work that explores how decision-makers expertise, the potential to aﬀect oneself or others, and the subjectivity and objectivity of decisions can inﬂuence people’s reliance on algorithmic advices (Logg, 2017).”