Can model attribution bridge AI's accountability gap in safety-critical domains?

Juarez M

DOI: 10.1098/rsta.2025.0117
Published: 2026 Jul 16
Container: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1098/rsta.2025.0117,
  title = {Can model attribution bridge AI's accountability gap in safety-critical domains?},
  author = {Juarez M},
  year = {2026},
  journal = {Philosophical transactions. Series A, Mathematical, physical, and engineering sciences},
  doi = {10.1098/rsta.2025.0117},
  url = {https://doi.org/10.1098/rsta.2025.0117}
}

RIS

TY  - JOUR
TI  - Can model attribution bridge AI's accountability gap in safety-critical domains?
AU  - Juarez M
PY  - 2026
JO  - Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
DO  - 10.1098/rsta.2025.0117
UR  - https://doi.org/10.1098/rsta.2025.0117
ER  -

APA

M, J. (2026). Can model attribution bridge AI's accountability gap in safety-critical domains?. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. https://doi.org/10.1098/rsta.2025.0117

Source records

pubmed · retrieved 2026-09-26T19:34:12.742Z
europe-pmc · retrieved 2026-09-26T19:34:12.754Z