Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)

International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)

📍Pune, Maharashtra, India🗓️ 3-4 April 2026
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Responsible Artificial Intelligence: A Comprehensive Review of Frameworks, Principles, and Practices

Authors
Shraddha Nitin Magdum1, Tanuja Satish Dhope2, *, Priyanka Kashinath Kendre3, Gulnaz T. Thakur4, Rajesh Kumar Kaushal5
1Research Scholar (Electronics Engineering), Department of Electronics Engineering, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, Maharashtra, India
2Department of Electronics & Communication Engineering, Bharati Vidyapeeth (Deemed to Be University) College of Engineering, Pune, Maharashtra, India
3Department of Information Technology, Trinity Academy of Engineering, Pune, Maharashtra, India
4Department of Information Technology, Trinity Academy of Engineering, Pune, Maharashtra, India
5Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
*Corresponding author. Email: tanuja_dhope@yahoo.com
Corresponding Author
Tanuja Satish Dhope
Available Online 14 July 2026.
DOI
10.2991/978-94-6239-723-1_34How to use a DOI?
Keywords
Responsible AI; AI Ethics; Fairness; Transparency; Accountability; Trustworthy AI; AI Governance; Explainability; AI Safety; Human-Centered AI
Abstract

The rapid proliferation of artificial intelligence systems across critical societal domains has intensified concerns about their ethical, social, and technical implications. This comprehensive review synthesizes recent scholarly literature on Responsible Artificial Intelligence (RAI), examining the multidimensional landscape of frameworks, principles, and practices that guide the development and deployment of trustworthy AI systems. Through systematic analysis of 30 recent publications (2024–2025), we identify and critically evaluate nine core dimensions of responsible AI: ethical frameworks and principles, fairness and bias mitigation, transparency and explain ability, accountability and governance, trustworthy AI systems, safety and robustness, privacy preservation, human-centered design, and regulatory approaches. Our analysis reveals significant progress in conceptual framework development and technical methods, yet identifies persistent challenges including the generalization gap in defenses against evolving threats, inadequate real-world evaluation protocols, fragmented regulatory landscapes, and the tension between theoretical principles and practical implementation. We synthesize emerging best practices, highlight critical research gaps, and propose an integrated research agenda that bridges technical rigor with social responsibility. This review contributes to the field by providing a holistic understanding of the responsible AI landscape and identifying pathways toward AI systems that are not only technically robust but also ethically aligned, socially beneficial, and publicly trustworthy.

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_34How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Shraddha Nitin Magdum
AU  - Tanuja Satish Dhope
AU  - Priyanka Kashinath Kendre
AU  - Gulnaz T. Thakur
AU  - Rajesh Kumar Kaushal
PY  - 2026
DA  - 2026/07/14
TI  - Responsible Artificial Intelligence: A Comprehensive Review of Frameworks, Principles, and Practices
BT  - Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
PB  - Atlantis Press
SP  - 376
EP  - 386
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-723-1_34
DO  - 10.2991/978-94-6239-723-1_34
ID  - Magdum2026
ER  -