Peer-Review Statements

Manju Kaushik; Rajesh Prasad; Sunita Jadhav; Sachin Chavan; Kailasnath Sutar; Harshada Mhetre

doi:10.2991/978-94-6239-723-1_1

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Peer-Review Statements

Authors

Manju Kaushik¹, Rajesh Prasad²^{, *}, Sunita Jadhav², Sachin Chavan², Kailasnath Sutar², Harshada Mhetre²

¹Amity University Rajasthan, Jaipur, India

²Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India

^*Corresponding author.

Corresponding Author

Rajesh Prasad

Available Online 14 July 2026.

DOI: 10.2991/978-94-6239-723-1_1 How to use a DOI?
Abstract: All of the articles in this proceedings volume have been presented at the International Conference on Responsible, Risk-Aware and Regulated Artificial Intelligence (RRRAI-2026) during 3-4^th April 2026 in Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune These articles have been peer reviewed by the members of the Technical Review Committee and approved by the Editor-in-Chief, who affirms that this document is a truthful description of the conference’s review process.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
Series: Advances in Intelligent Systems Research
Publication Date: 14 July 2026
ISBN: 978-94-6239-723-1
ISSN: 1951-6851
DOI: 10.2991/978-94-6239-723-1_1 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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ris enw bib

TY  - CONF
AU  - Manju Kaushik
AU  - Rajesh Prasad
AU  - Sunita Jadhav
AU  - Sachin Chavan
AU  - Kailasnath Sutar
AU  - Harshada Mhetre
PY  - 2026
DA  - 2026/07/14
TI  - Peer-Review Statements
BT  - Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-723-1_1
DO  - 10.2991/978-94-6239-723-1_1
ID  - Kaushik2026
ER  -

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