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Computers & Society
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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Where ADS Crashes Differ: A Harmonized Comparison Against Human Baselines
Crash-rate comparisons between automated driving systems (ADS) and human drivers require an exposure denominator that only a few operators publish.A Parametric Model for Generating Synthetic Homelessness and Housing Administrative Data
This paper presents two Markov chain models for generating synthetic housing and homelessness administrative (SHHAd) data.When AI Agents Act on Our Behalf: A Taxonomy of Human-Agent Interaction Failure
AI agents write and execute code, manipulate user interfaces, and transact on their users' behalf.A Framework for Task-Agnostic Counterfactual Fairness in Transformers through Activation Steering
Bias in transformer-based models is a growing concern as these architectures become more prevalent in automated decision-making systems, such as prediction models for hiring, lending, and clinical…Queering the Audits: Community-Based Auditing of AI Harms to Queer Communities
AI systems embed majority-group defaults into training data, evaluation metrics, and category definitions, producing documented harms for queer communities including erasure, misclassification, and…Exploring Collaborative Debating Models for the future of science
AI is expanding what researchers can produce.Where Intention Goes, Responsibility Flows: Grounding AI Accountability in the Machine Learning Paradigm
An opening salvo of lawsuits in U.S. courts has begun holding AI companies accountable through independent doctrinal routes: product liability and agency law cut as swords, while the shields of…On the Framing Effect of AI Red-Teaming Instructions: Evidence from Prior Exercises and Controlled Simulations
AI red-teaming, adversarially probing generative AI systems to surface harms, has become a central evaluation method.The Promises and Limitations of Evaluation-Based AI Governance: Evidence from Expert Interviews
We conducted 37 semi-structured expert interviews to examine how frontier AI evaluations reduce societal-level AI risks.Unlocking with the Heart: Investigating User Perceptions of ECG-Based Biometric Authentication
Password-based authentication remains challenging for many users, especially for those who face usability and accessibility issues.Does the Citation Matter? Quality, Grounding, and Physician-Rubric Accuracy of Google's AI Overviews for Medical Information
Google's AI Overviews (AIOs) are the first result users encounter when searching the web, shifting the work of selecting and evaluating sources from the user to Gemini.Robustness of Chatbot LLM Judgments of Presidential Actions and Hypothetical Reforms
Chatbots are increasingly consulted about public affairs, and their judgments of policies are useful only if they are robust.Data Provenance and Ethics in the Curricula of U.S. Health AI Education Programs
Failures of deployed clinical artificial intelligence (AI) systems have often originated in how their training data were generated.Letting AI Formulate the Research Question: Autonomous Research Agents
Systems such as The AI Scientist have shown that AI agents can carry out and write up research, but in those demonstrations humans chose the research area and selected the outputs to show.When the Top Answer Decides: Gender Bias in Decision Models
Decision models are language models built to route, classify and triage: they return option probabilities from one forward pass, and an application acts on the top answer.GPU-Resident Speculative Decoding for In-Browser LLM Inference with WebGPU
WebGPU enables private, offline LLM inference inside web pages, but browser dispatch, inter-process communication, synchronous readback and single-token kernels slow decoding and make conventional…Device-Induced Mobility Heterogeneity and Its Impact on Federated Next-Location Prediction
Predicting human mobility is central to network management, urban planning, and location-based services, yet privacy concerns are increasingly pushing such tasks toward federated learning.Behind the Paper Explosion: Author Growth and Widening Gaps in Computer Science
The rapid growth of computer science (CS) papers increases the work needed to review research and find relevant studies.TokWatt: an open, boundary-annotated database of AI inference energy, from chat answers to agents
Electricity supply is becoming a binding constraint on the deployment of artificial intelligence (AI), yet public evidence on the energy used by a single AI task is scattered and hard to compare.Incorporating Machine-Others: An Enactive Exploration of Human-LLM Interactions
New concepts based in interactional thinking are required to understand how humans are changed by relating to LLMs.