Hello! I'm Arka, a PhD student in Computing and Information Sciences at Rochester Institute of Technology, advised by Prof. Ashiqur R. KhudaBukhsh at the Social Insight Lab. My research lies at the intersection of Natural Language Processing and Computational Social Science, focusing on creating fair, responsible, and equitable Generative AI systems. My work has been featured at leading conferences (ACL, AAAI, IJCAI, CoLM, ICWSM) and recognized globally by media outlets such as ABC News, CNN, WIRED, and the Montreal AI Ethics Institute. Passionate about mathematics and problem solving, I actively integrate advanced concepts from combinatorics, optimization, and probability theory to enhance the robustness and fairness of AI models.
As Featured In
News
- Summer '26Joining Amazon as an Applied Scientist II Intern in Seattle, on the Buyer's Risk Prevention team.
- 2026Paper accepted at ACL 2026 (Main) — HAUNT: probing LLM self-consistency via adversarial nudge.
- 2026Paper accepted at ACL 2026 (Findings) — auditing LLM responses to harmful stereotypes targeting mental-health groups.
- 2026Paper accepted at AAAI 2026 — a framework to bias-audit LLMs for antisemitism.
- 2026Paper accepted at ICWSM 2026 — a large-scale social-web audit of AI-generated-text detectors.
- 2025Our antisemitism-in-LLMs work covered by CNN; bias-audit research featured in WIRED.
- 2025Featured on Good Morning America and ABC News for research on AI-generated hateful content.
- 2025Paper accepted at COLM 2025 and IJCAI 2025.
- 2024Received the RIT Language Science Student Excellence Award; paper accepted at IJCAI 2024.
Research Themes
My work runs along two strands that continually feed each other — measuring social phenomena in real-world text, and stress-testing the models that increasingly generate it. They share a common core: bias & fairness, human–AI interaction, and responsible AI.
Computational Social Science
Using NLP to study society at scale — from de-escalating conflict to auditing fairness and the provenance of online content.
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Hope speech & peace
A dataset of 10,081 posts shows vicarious, bipartisan perspectives help model de-escalating language between nuclear adversaries.
Bipartisan Peace · IJCAI 2025 -
Bias & fairness in society
Measures how much racial signal is present in — and inferable from — police arrest narratives, and what models do with it.
Race in the Record -
AI-content provenance
A large-scale social-web audit of AI-generated-text detectors, testing how reliably they hold up in the wild.
AI-Text Audit · ICWSM 2026
LLM Evaluation
Stress-testing large language models to reveal where they break — probing bias, reliability, and factual consistency under adversarial pressure.
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Bias & fairness in models
A "rabbit hole" framework iteratively elicits toxic content across 1,266 identity groups, exposing where guardrails quietly fail.
Toxicity Rabbit Hole · IJCAI 2024Closet Antisemite · AAAI 2026 -
Reliability under attack
Shows that simple spacing-based jailbreaks slip past guardrails and reveal the biases lying beneath them.
S P A C E Jailbreak · AAAI 2025 -
Factuality & self-consistency
HAUNT nudges a model against its own answers in closed domains, surfacing when it stays consistent and when it caves.
HAUNT · ACL 2026
Selected Publications
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A three-step framework that turns a model against itself to reveal when it caves to subtle conversational nudges and fabricates confident falsehoods.
ACL 2026 · Main ACL Anthology -
Iteratively elicits increasingly toxic content from an LLM, exposing how guardrails degrade with depth across 1,266 identity groups.
IJCAI 2024 Proceedings -
A framework that surfaces latent antisemitic bias in LLMs by measuring how their responses diverge under targeted probes.
AAAI 2026 Proceedings -
Auditing LLM Response to Harmful Stereotypes Targeting Mental Health Groups
Measures how often LLMs endorse, justify, or elaborate on harmful stereotypes about mental-health groups.
ACL 2026 · Findings ACL Anthology -
Builds entity networks from LLM-generated attack narratives to trace how bias against mental-health groups emerges and spreads.
COLM 2025 PDF -
Towards a Bipartisan Understanding of Peace and Vicarious Interactions
Shows that vicarious, cross-national perspectives help model de-escalating "hope speech" between nuclear adversaries.
IJCAI 2025 Proceedings
Skills
Selected Achievements
- RIT Language Science Student Excellence Award (2024) — one of two recipients among 1000+ students university-wide, for research in responsible AI and NLP systems.
- Common Admission Test (CAT, 2022) — 98.97 percentile among 100k+ candidates, securing admission to the PGP at IIM Indore (top-100 globally, Financial Times).
- Regional Mathematics Olympiad (2018) — qualified for the RMO (West Bengal); advanced aptitude in combinatorics, number theory, algebra, geometry, and optimization.
- Jagadish Bose National Science Talent Scholarship (2017) — awarded for excellence in science.