The paradox of explainability vs. performance in high-stakes autonomous AI systems: a systematic review of trade-offs, regulatory gaps, and emerging solutions
Crossref DOI link: https://doi.org/10.1186/s42467-026-00018-5
Published Online: 2026-02-13
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nedunuri, Uday
Das Gupta, Abhijit
Guha, Debashis
Text and Data Mining valid from 2026-02-13
Version of Record valid from 2026-02-14
Article History
Received: 1 July 2025
Accepted: 27 January 2026
First Online: 13 February 2026
Declarations
:
: The authors declare no competing interests.