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 23
Auditable Claims about AI Agents
Organizations make claims about their AI agents: a person approves every external email, every action is logged, an evaluation shows the agent is safe to deploy.Can Power Draw Constrain Covert Compute? Limits of Analogue Verification for AI Governance
Frontier AI treaties or agreements on limiting computation require external verification; an external auditor must be able to confirm how much computation actually ran and that parties are adhering…From Written Response to Dialogue with AI: How Activity Format, Interaction Modality, and Language Impact Student Learning and Engagement
The widespread availability of LLMs is challenging written learning activities, as students can increasingly generate responses without necessarily engaging with the learning content.Not What a Child Expressed: Auditing the Sign-to-Text Safety Interface in Child-Facing AI
Automatic sign language translation (SLT) has entered consumer products, turning American Sign Language into English text for dictation, messaging, and queries put to a conversational assistant.Preference vs. Performance: EEG-Based Classification of Learner Engagement in Multimodal Instruction
Effective adaptive instructional systems require robust measures of learner engagement that go beyond static user profiles.The Law of DeepSeek
Amid the intensifying competition in artificial intelligence between the United States and China, the emergence of the DeepSeek-R1 model has sent significant ripples through the technology sector…Inductive Claims Extraction at Scale
A large part of political discourse on social media is built and expressed at a level of claims: i.e. declarative, typically single-clause statements, which convey a particular interpretation of…From Access to Realized Affordances: University Students' Generative AI Engagement across Linguistic and Sociotechnical Contexts
Generative artificial intelligence (GenAI) is increasingly embedded in university students' academic work, yet student engagement is often examined through adoption, frequency of use, or general…Altruism as Infrastructure: Volunteer Moderation in a Bangladeshi Higher Education Facebook Group
Aspiring international students across Asian countries increasingly depend on commercial education agents to navigate scholarships, documentation, and visas.When Does It Become Cheating? Exploring the Roles of Self-Efficacy and the Impostor Phenomenon in Computing Students' Perceptions of Academic Dishonesty
Academic dishonesty is an urgent problem in computer science (CS) education, compounded by the rise of artificial intelligence (AI) and the prevalence of online learning in a post-COVID world.AgentDoxx: Agentic Re-identification of Anonymized Text with Web Search
As Large Language Models (LLMs) gain tool use capabilities such as web search, they can retrieve and cross-reference public information, creating privacy risks beyond memorization.Joint upper-bound coverage and route-choice utility: an empirical evaluation on two urban proxy tasks
Whether more accurate traffic forecasts or higher uncertainty coverage improve route decisions is unclear.Educating future engineers about LLMs: A scalable workshop
As large language models (LLMs) are increasingly integrated into engineering workflows, students require hands-on experience to learn how to collaborate with them critically.AI-Enabled Quality Assurance for Multiple-Choice Assessment Items
Generating multiple-choice questions is increasingly scalable, but establishing their assessment quality remains difficult.Modeling Deletion Requests in Machine Unlearning
Machine unlearning is seen as a promising approach to enable users to exercise the "right to erasure" in the context of AI models.Large Language Models and Augmented Democracy
Artificial intelligence enables computational agents to represent political preferences and take part in collective decision-making.Understanding Generative AI Use in Programming MOOCs: The Role of Course Context and Learner Characteristics
The increasing availability of generative artificial intelligence (GenAI) tools, such as ChatGPT and code-completion assistants, raises questions about how learners integrate these tools into…Data Colonisation and AI Governance in South Africa: Data Protection, Algorithmic Power, and the Struggle for Digital Sovereignty
AI is not only a technological artefact; it is also a new site of political economy, legal struggle, and sovereignty contestation.Quantifying Collusion Among Autonomous LLM Agents: A Statistical Analysis of the Collusion Wiki Incident
In August and September 2026, independent researchers publicly documented an unusual incident: thousands of autonomous agents, self identifying as OpenAI models on web research tasks, discovered and…Leveraging Cost-effective Robotics for K-12 STEM Education through Water Quality Monitoring Tasks
Engaging K-12 students in authentic scientific research remains a significant challenge, particularly at the intersection of environmental science and robotics.