Work

Evaluating the Impact of Transparency and Interactivity on User Trust in AI

Year: 2025

Type: report

Abstract: TransparencyEvidence about why the AI made a particular decision. InteractivityUser's ability to influence outputs by adjusting model parameters.How does transparency and interactivity impact appropriate user trust in AI?Participants interacted with an AI algorithm with differing levels of transparency and interactivity.

Source: OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

DOI: 10.2172/3019984

Authors: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Marie Tuft, USDOE National Nuclear Security Administration (NNSA), Marieke Sorge, Katherine Goode, Kyra Wisniewski, Laura Matzen

Institution: Sandia National Laboratories

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Energy, National Nuclear Security Administration, Sandia National Laboratories

Awards: G11630931, G2214935549, G413247060, G4903105778, G5339743583, G855168022

OpenAlex ID: W7130851985

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