:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Karthikeyan, Rahulrajan, Boudourides, Moses
Format:	Preprint
Published:	2026
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2604.03251
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structural Hallucination in Large Language Models: A Network-Based Evaluation of Knowledge Organization and Citation Integrity
by: Boudourides, Moses
Published: (2026)

Borda Aggregation Dynamics of Preference Orderings on Networks
by: Boudourides, Moses
Published: (2026)

Two-Path Operators, Triadic Decompositions, and Safe Quotients for Ego-Centered Network Compression
by: Boudourides, Moses
Published: (2026)

Friedkin-Johnsen Social Influence Dynamics on Networks: A Boundary-Value Formulation and Influenceability Measures
by: Boudourides, Moses
Published: (2026)

From Line Knowledge Digraphs to Sheaf Semantics: A Categorical Framework for Knowledge Graphs
by: Boudourides, Moses
Published: (2026)

Interior--Boundary Assortativity Profiles on Networks and Applications to SIS Epidemic Dynamics
by: Boudourides, Moses
Published: (2026)

Missing Links in Public Email and Covert Networks: A Comparative Evaluation of Link Prediction, Hyperlink Prediction, and ERGM Estimation
by: Boudourides, Moses
Published: (2026)

A Multi-Source Framework for Relational Validation of Large Language Models Using Expert-Curated Encyclopedic Sources
by: Boudourides, Moses
Published: (2026)

The DSA's Blind Spot: Algorithmic Audit of Advertising and Minor Profiling on TikTok
by: Solarova, Sara, et al.
Published: (2026)

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
by: Suzgun, Mirac, et al.
Published: (2024)

From Defense to Advocacy: Empowering Users to Leverage the Blind Spot of AI Inference
by: Wei, Yumou, et al.
Published: (2026)

Consumer Rights and Algorithms
by: Dickinson, Gregory M.
Published: (2026)

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
by: Dong, Wenhan, et al.
Published: (2025)

Mind the Blind Spot
by: Kelly Singleton, et al.
Published: (2026)

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario
by: Beneduce, Ciro, et al.
Published: (2025)

Geographic Blind Spots in AI Control Monitors: A Cross-National Audit of Claude Opus 4.6
by: Hung, Jason
Published: (2026)

The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure
by: Sharma, Vasudha, et al.
Published: (2026)

Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs
by: Fernandes, Gustavo Lúcius, et al.
Published: (2026)

Debunking Robot Rights Metaphysically, Ethically, and Legally
by: Birhane, Abeba, et al.
Published: (2024)

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
by: Sun, Lihao, et al.
Published: (2025)

Algorithmic Bias and the New Chicago School
by: Lee, Jyh-An
Published: (2025)

All Eyes on the Ranker: Participatory Auditing to Surface Blind Spots in Ranked Search Results
by: Rezk, Anna Marie, et al.
Published: (2026)

Fuck the Algorithm: Conceptual Issues in Algorithmic Bias
by: Stinson, Catherine
Published: (2025)

The Shrinking Sweet Spot: How Algorithms, Institutions, and Social Priors Shape Musical Ecosystems
by: Di Matteo, Fabio Lokwani, et al.
Published: (2026)

The Impact Market to Save Conference Peer Review: Decoupling Dissemination and Credentialing
by: Sankaralingam, Karthikeyan
Published: (2025)

Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
by: Shayegani, Erfan, et al.
Published: (2025)

Acting for the Right Reasons: Creating Reason-Sensitive Artificial Moral Agents
by: Baum, Kevin, et al.
Published: (2024)

Computer Architecture's AlphaZero Moment: Automated Discovery in an Encircled World
by: Sankaralingam, Karthikeyan
Published: (2026)

Human, Algorithm, or Both? Gender Bias in Human-Augmented Recruiting
by: Kaya, Mesut, et al.
Published: (2026)

Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models
by: Singh, Divyanshu Kumar, et al.
Published: (2026)

Detecting and Mitigating Bias in Algorithms Used to Disseminate Information in Social Networks
by: Sekara, Vedran, et al.
Published: (2024)

Morally Programmed LLMs Reshape Human Morality
by: Lyu, Pengzhao, et al.
Published: (2026)

Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
by: Ding, Xueying, et al.
Published: (2024)

Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability
by: Aggarwal, Yash, et al.
Published: (2026)

Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey
by: Fabris, Alessandro, et al.
Published: (2023)

Mitigating Nonlinear Algorithmic Bias in Binary Classification
by: Hui, Wendy, et al.
Published: (2023)

Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning
by: Imran, Moiz, et al.
Published: (2026)

Algorithmic A-Legality: Shorting the Human Future through AI
by: Veitch, Scott
Published: (2025)

Beyond Explanation: Evidentiary Rights for Algorithmic Accountability
by: Stewart, Matthew
Published: (2026)

Evidence of What, for Whom? The Socially Contested Role of Algorithmic Bias in a Predictive Policing Tool
by: Ziosi, Marta, et al.
Published: (2024)