Glossary Term

Trust

The willingness to assume risk by relying on or believing in the actions of another party.

Related terms: Trustworthiness, Ethical AI, Interpretability, Explainability, Responsible AI, Robust AI

The definition of trust above is purposefully broad, so as to capture the many different definitions and related dimensions of trust. Fundamentally, trust is relational, as it involves someone’s perception of something or someone else. Trust is dynamic, evolves with interactions, and is easier to lose than gain. 

Resources and References

• Jacovi, Alon, Ana Marasović, Tim Miller, and Yoav Goldberg. 2021. “Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI.” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 624–35. FAccT ’21. New York, NY, USA: Association for Computing Machinery.
• Meyer, R. C., J. H. Davis, and F. David Schoorman. “An integrative model of organizational trust.” Academy of management review 20.3 (1995): 709-734.
• Luhmann, N. (1989). Vertrauen: Ein Mechanismus der Reduktion sozialer Komplexität [Trust: A mechanism for the reduction of social complexity]. Stuttgart, Germany: Enke.
• Freudenburg, William R. “Risk and recreancy: Weber, the division of labor, and the rationality of risk perceptions.” Social forces 71.4 (1993): 909-932.
• Rousseau, Denise M., et al. “Not so different after all: A cross-discipline view of trust.” Academy of management review 23.3 (1998): 393-404.