generative ai

AI Acceptable Use Policy Benchmark: How 15 Sectors Govern 11,890 Generative AI Tools (Shadow AI Governance Statistics, 2026)

How strict should an AI acceptable use policy be? This dataset benchmarks generative AI policy across fifteen sectors by applying each sector's AI governance profile to one shared register of 11,890 active AI tools (snapshot 26 September 2026). The sectors are defense and critical infrastructure, K-12 schools, governme...

The layer of lesson preparation delegated to AI predicts classroom discourse quality: a four-wave video study of 90 junior secondary mathematics teachers

Research on teachers and generative artificial intelligence has largely measured how much they use these tools, leaving open which cognitive operations they hand over. We asked whether the layer of processing delegated during lesson preparation predicts what happens in the classroom. Ninety junior secondary mathematics...

Educator and AI agent communication in AI-mediated higher education classrooms: a mini review along the complementarity-substitution axis

The rapid integration of generative artificial intelligence into higher education classrooms has reignited the debate over the role of communication between educators and students. This mini-review synthesizes the role of instructional communication constructs (immediacy, rapport, clarity, and credibility) and the rela...

From threat to reconfiguration: How content creators reshape occupational identity in AI-driven creative practices

Generative artificial intelligence (GenAI) is disrupting creative work and challenging occupational identities, yet limited research has examined how creators experience and respond to these changes. Drawing on Albert Ellis’s ABC model, this study investigates relationships among GenAI adoption, identity threat, job cr...

AI-mediated informal digital learning of English in Kazakhstan and Uzbekistan: The roles of L2 motivational selves and learner resilience

The rapid development of generative artificial intelligence (AI) has reshaped informal digital learning, yet most research has focused on well-resourced contexts and often treats AI-mediated learning as a standalone phenomenon. This leaves a limited understanding of how learners in underrepresented regions adopt AI-sup...

MINT: Modeling GenAI Impact on Network Traffic

Generative AI (GenAI) is becoming a mainstream network workload, yet packet-level simulators lack measure\-ment-driven GenAI traffic models. Currently researchers must approximate GenAI services using traditional sources such as file transfer and video streaming, limiting realistic network evaluation of scheduling and...

Replication Package — University Teachers' Continued Use of Generative AI Teaching Tools

Version 2 (2026-10): province/city fields removed for de-identification; method labeling aligned to bootstrapped path analysis; supplementary analyses added (policy-stratified mechanism test, ordinal discontinuation model, attrition analysis, disattenuation sensitivity).

Stata Replication Package for "Workplace Generative AI and the Separation of Operational Discretion from Temporal Job Quality"

This Stata replication package supports the paper "Workplace Generative AI and the Separation of Operational Discretion from Temporal Job Quality". It provides analysis code, data-access instructions, variable crosswalks, aggregate results and verification files. The analysis uses paid-employee samples from the Canadia...

Demand Discovery under Free Imitation: Generative AI and Creation Incentives in a Digital Doujin Platform

Sales rankings on digital platforms broadcast which new ideas sell. The demand knowledge a pioneer discovers therefore spills over to every potential imitator, and generative AI has made acting on it drastically cheaper. On DLsite, the largest Japanese marketplace for digital doujin works, I measure how fast imitation...

Students’ Perception Accuracy of Partners’ AI Use and its Relation to Collaboration Performance

AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice

Code and result tables for "Adaptive UAV traffic monitoring under partial and delayed sensing: when does the expected value of surrogate-risk information change dispatch?"

Scripts, configurations and result tables for the article "Adaptive UAV traffic monitoring under partial and delayed sensing: when does the expected value of surrogate-risk information change dispatch?" by A. Mahmoodi, M. Davoodi, E. A. Torkamani and S. M. Sajadi, submitted to Transportation Research Part C: Emerging T...