Security & Cryptography · Computer Science & AI
Computers & Society
The newest papers in Computers & Society that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
Get the few papers worth your time in Computers & Society every morning.
Follow Computers & Society and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 9
Safe by Benchmark, Unsafe in Practice: Lessons from 1331 Child-Related AI Incidents
AI systems are increasingly present in children's everyday environments: education, entertainment, social networks, and toys.Arya Forge: Auditing Validation and Release Approval for Financial Instruction Data
Financial instruction-data pipelines must distinguish content validity from permission to release a particular dataset.High Scores, Hidden Failures: Evaluating Codebook-Based LLM Content Analysis
Large language models (LLMs) are increasingly used for codebook-based content analysis in computational social science, where codebooks translate theoretical concepts into labeling schemes.Context Is Not Free: Carbon-Aware LLM Routing for Multi-Turn LLM Web Services across Geo-Distributed Data Centers
The sustainability of the Web has drawn growing attention, as large language model (LLM)-based web services leave a substantial carbon footprint.Application of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa
While climate change disproportionately impacts African public health, AI predictive modeling remains heavily constrained.Being judged through the record: A Rosenhan-inspired test of psychiatric label sensitivity in large language models
The integration of large language models (LLMs) into clinical decision-making raises unresolved questions regarding diagnostic bias.Routing Around the Queue: An Evaluation of Eco-Routing Protocol on different Traffic Scenarios
We evaluate ErouVe, a vehicular eco-routing protocol in which roadside units (RSUs) collect per-segment travel-time and CO2 reports from passing vehicles and answer route requests with the…ArchiveLens: A Generative Spatial Knowledge Framework for Semantic Reconstruction of Historical Maps
Historical maps contain dense morphological and semantic information about past urban environments, but many digitization workflows focus primarily on extracting geometry, and do not capture…Cheap AI-Assisted Reverse Engineering and What It Will Do
Generative AI is putting the law of reverse engineering (RE) under severe strain.Reflective Computing
Interactive technology is increasingly built for speed, and generative AI now answers before a question is fully formed.The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI
The gap between AI capability deployment and safety assurance is structural and cannot be closed through internal evaluations alone.Game theory of academic effort and hiring in the age of AI
Many academic disciplines (in particular, mathematics and the theoretical sciences) face difficult questions about how to adapt their practices to the rise of highly capable artificial intelligence…PolicyMediator: Multi-Regional Policy Learning through Mediation Agents with Evolving Skills in OPC Ecosystems
One-person companies (OPCs) are emerging enterprises operated by individual entrepreneurs through digital platforms and LLM-based AI agents.Practice Makes Perfect: Tacit Knowledge, Generative AI, and Returns to Schooling and Experience
Generative AI changes the scarcity of different forms of human capital.Why and How to Do Science When AI Is Better at It: A Framework Grounded in Human Understanding and Direction
As AI begins to match or exceed human researchers at core scientific tasks, two questions become pressing: \emph{why} should humans keep doing science, and \emph{how} should they use AI when they do?Is the education gap in generative AI use smaller than the internet's was at a similar level of use? Evidence from 16 European countries
New technologies are usually adopted first by people with more formal education.Bringing Hardware Security Education to All: A Seamless Curriculum Integration Approach
Cybersecurity education has predominantly focused on software and network security, under the assumption that the underlying hardware is trustworthy.MUSE: Revealing Responsiveness Gaps of LLM Tutors on Multiple-Solution Programming Problems
When a problem admits multiple valid solutions, effective tutoring requires building on a student's strategy while introducing alternatives at appropriate points.Balancing Mobility Efficiency and Environmental Exposure During Mega Events: A Multi-agent Routing Framework
Mega events can generate concentrated travel demand, intensifying congestion around venues and increasing travelers' environmental exposure.The Policies of Programming Language Ecosystems: A "Qualitative" Analysis
Programming language ecosystems (PLEs), such as CRAN for R, have greatly accelerated software reuse.