FairBail: A Multimodal Framework for Fair Bail Prediction in the Indian Judicial Context Using Causal Auditing and Adversarial Debiasing
- DOI
- 10.1109/access.2026.3704766
- Published
- 2026
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/access.2026.3704766,
title = {FairBail: A Multimodal Framework for Fair Bail Prediction in the Indian Judicial Context Using Causal Auditing and Adversarial Debiasing},
author = {Keerthi Lingam and Suresh Chittineni},
year = {2026},
journal = {IEEE Access},
doi = {10.1109/access.2026.3704766},
url = {https://doi.org/10.1109/access.2026.3704766}
}RIS
TY - JOUR TI - FairBail: A Multimodal Framework for Fair Bail Prediction in the Indian Judicial Context Using Causal Auditing and Adversarial Debiasing AU - Keerthi Lingam AU - Suresh Chittineni PY - 2026 JO - IEEE Access DO - 10.1109/access.2026.3704766 UR - https://doi.org/10.1109/access.2026.3704766 ER -
APA
Lingam, K., & Chittineni, S. (2026). FairBail: A Multimodal Framework for Fair Bail Prediction in the Indian Judicial Context Using Causal Auditing and Adversarial Debiasing. IEEE Access. https://doi.org/10.1109/access.2026.3704766
Source records
- doaj · retrieved 2026-09-26T09:12:13.771Z