Auditing cognitive drift in AI-driven recommendation: a responsible AI methods protocol with a health case demonstration.

Li Z, Zhu C.

Open source

DOI: 10.3389/fnins.2025.1697053
Published: 2025-12-08
Container: Front Neurosci
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2025.1697053,
  title = {Auditing cognitive drift in AI-driven recommendation: a responsible AI methods protocol with a health case demonstration.},
  author = {Li Z and  Zhu C.},
  year = {2025},
  journal = {Front Neurosci},
  doi = {10.3389/fnins.2025.1697053},
  url = {https://doi.org/10.3389/fnins.2025.1697053}
}

RIS

TY  - JOUR
TI  - Auditing cognitive drift in AI-driven recommendation: a responsible AI methods protocol with a health case demonstration.
AU  - Li Z
AU  -  Zhu C.
PY  - 2025
JO  - Front Neurosci
DO  - 10.3389/fnins.2025.1697053
UR  - https://doi.org/10.3389/fnins.2025.1697053
ER  -

APA

Z, L., & C., Z. (2025). Auditing cognitive drift in AI-driven recommendation: a responsible AI methods protocol with a health case demonstration.. Front Neurosci. https://doi.org/10.3389/fnins.2025.1697053

Source records

europe-pmc · retrieved 2026-09-26T17:15:21.097Z
doaj · retrieved 2026-09-26T17:15:21.092Z