Journal of Advances in Developmental Research

E-ISSN: 0976-4844   •   Impact Factor: 9.71

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 1 January-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of January-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 17 Issue 1
2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Legal and Ethical Reasoning in GenAI Models via Prompt-Chaining and Constitutional AI

Author(s) Mohan Siva Krishna Konakanchi
Country United States
Abstract Generative Artificial Intelligence (GenAI) models have revolutionized various domains, including legal analysis and ethical decision-making. However, their deployment in sensitive areas like law and ethics demands robust mechanisms for reasoning over complex legal datasets and embedding ethical constraints during content generation. This paper proposes a novel framework that integrates prompt-chaining techniques with Constitutional AI principles to enable dynamic legal reasoning and ethical reflection in GenAI systems. We introduce a trust metric-based federated learning paradigm to ensure integrity and accountability across distributed data silos, mitigating risks associated with centralized training. Furthermore, we develop a comprehensive framework to quantify and optimize the in- herent trade-off between model explainability and performance. Through extensive experiments on benchmark legal datasets, our approach demonstrates superior reasoning accuracy, ethical compliance, and balanced explainability-performance metrics. The results underscore the potential of our framework to foster trustworthy GenAI applications in legal and ethical contexts.
Keywords Generative AI, Prompt-Chaining, Constitutional AI, Federated Learning, Trust Metrics, Explainability, Legal Reasoning, Ethical Constraints.
Field Engineering
Published In Volume 11, Issue 2, July-December 2020
Published On 2020-08-07
Cite This Legal and Ethical Reasoning in GenAI Models via Prompt-Chaining and Constitutional AI - Mohan Siva Krishna Konakanchi - IJAIDR Volume 11, Issue 2, July-December 2020. DOI 10.71097/IJAIDR.v11.i2.1635
DOI https://doi.org/10.71097/IJAIDR.v11.i2.1635
Short DOI https://doi.org/hbph4q
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJAIDR DOI prefix is
10.71097/IJAIDR

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 17 Isu 1Cover Page Vol 16 Isu 2Cover Page Vol 16 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJAIDR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijaidr.com