Cargando…
Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations
In the digital age, saving and accumulating large amounts of digital data is a common phenomenon. However, saving does not only consume energy, but may also cause information overload and prevent people from staying focused and working effectively. We present and systematically examine an explanator...
Autores principales: | Göbel, Kyra, Niessen, Cornelia, Seufert, Sebastian, Schmid, Ute |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727201/ https://www.ncbi.nlm.nih.gov/pubmed/36504690 http://dx.doi.org/10.3389/frai.2022.919534 |
Ejemplares similares
-
The Relationship Between Performance and Trust in AI in E-Finance
por: Maier, Torsten, et al.
Publicado: (2022) -
First impressions of a financial AI assistant: differences between high trust and low trust users
por: Schreibelmayr, Simon, et al.
Publicado: (2023) -
Trust Dynamics and Verbal Assurances in Human Robot Physical Collaboration
por: Alhaji, Basel, et al.
Publicado: (2021) -
Corrigendum: Trust Dynamics and Verbal Assurances in Human Robot Physical Collaboration
por: Alhaji, Basel, et al.
Publicado: (2021) -
Argument-based human–AI collaboration for supporting behavior change to improve health
por: Kilic, Kaan, et al.
Publicado: (2023)