Authors: Shaina Raza*, Ranjan Sapkota*, Manoj Karkee, Christos Emmanouilidis
Affiliations: Vector Institute; Cornell University; University of Groningen
Equal contribution: Shaina Raza and Ranjan Sapkota
If you use this work, please cite us (see Cite below).
What is R²A²?
Responsible Reasoning AI Agents (R²A²) are LLM-powered agents that perform multi-step reasoning with built-in safeguards — bias checks, privacy protection, audit logs, and robustness tests — applied at every reasoning step, not just the final output.
Why now? The 2024–2025 wave of reasoning models and agentic browsers demands trace-level evaluation (faithfulness, safety, privacy), continuous auditing, and human-in-the-loop oversight to reach production in high-stakes domains.
BibTeX:
@article{raza2025responsible,
author = {Shaina Raza and Ranjan Sapkota and Manoj Karkee and Christos Emmanouilidis},
title = {Responsible Agentic Reasoning and AI Agents: A Critical Survey},
journal = {TechRxiv},
year = {2025},
month = sep,
day = {08},
doi = {10.36227/techrxiv.175735299.97215847/v1},
note = {Preprint}
}
This repository is licensed under the MIT License (see LICENSE).
We thank contributors and readers who provide feedback and issue reports. PRs welcome!
Show full references table
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