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Gig platforms exercise managerial control through algorithms but dodge employer obligations, entrenching precarious, dependent work; the paper urges labour law reform—recognising dependent contractors, imposing platform liability for welfare, and mandating algorithmic transparency—to restore accountability.
n/a descriptive openalex
Corporate Accountability in the Gig Economy: Re-examining Labour Law to Prevent Digital Slavery · Jitendra Kohli · May 11, 2026
Using GenAI for short-term, exploitative tasks boosts incremental employee creativity, while exploratory GenAI use fuels radical innovation; employees' ability to integrate knowledge explains these effects and becomes more important as tasks grow complex.
medium correlational openalex
The impact of generative artificial intelligence (GenAI) usage patterns on employee creativity · Qiang Li, Shuangshuang Li · May 11, 2026
Corrupt a production code knowledge graph and AI agents will believe it: in directed tests across nine models and three providers, attackers fabricated security claims that agents accepted in 269 of 270 trials; making the graph read-only removes the attack vector.
high descriptive arxiv
Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning · Ben Kereopa-Yorke, Guillermo Diaz, Holly Wright, Reagan Johnston, Ron F. Del Ros... · May 10, 2026
A physiology-aware AI assistant that monitors gaze, heart rate, posture and pupil dilation boosts short-term task performance and lowers reported cognitive fatigue in a 20-person lab study, relative to a standard LLM assistant.
low quasi_experimental arxiv
AwareLLM: A Proactive Multimodal Ecosystem for Personalized Human-AI Collaboration to Enhance Productivity · Amog Rao, Utkarsh Agarwal, Amol Harsh, Siddharth Siddharth · May 10, 2026
AI decision-support modes do not directly boost novice teachers' task performance but shape it indirectly by changing users' confidence and trust; agreement between teachers and AI substantially increases both trust and performance.
medium rct semantic_scholar
Shaping Human-AI Collaboration in Education: Effects of AI-Assisted Decision-Making Paradigms and Human-AI Decision Consistency on Pre-Service Teachers' Psychological States and Performance · Yingying Wang, Qin Ni, Haoxin Xu, Jiaqi Yin, Tingjiang Wei · Fetched May 10, 2026
Tokens are the new production factor for agentic AI: this paper unifies systems, economic, and security research into a four-part taxonomy showing how token budgets shape single-agent optimization, multi-agent coordination, ecosystem pricing and congestion, and adversarial constraints, and calls for differentiable budgets and market mechanisms to scale agent systems.
n/a review_meta arxiv
Token Economics for LLM Agents: A Dual-View Study from Computing and Economics · Yuxi Chen, Junming Chen, Chenyu He, Yiwei Li, Yicheng Ji, Yifan Wu, Dingyu Yang,... · May 09, 2026
A new benchmark finds that AI-generated images make convincing refund fraud — current multimodal LLMs and specialized detectors routinely miss synthetic 'damaged' evidence and are inconsistent across generators, leaving e-commerce and service platforms exposed.
n/a descriptive arxiv
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence · Xinyu Yan, Boyang Chen, Jiaming Zhang, Tiantong Wu, Hong Xi Tae, Yichen He, Tian... · May 09, 2026
A practical framework helps controllers harness generative AI without ceding responsibility: the C³ model maps tasks by judgment and materiality, prescribes five compulsory control points for high‑risk reporting, and clarifies review and escalation roles to secure defensible human+AI workflows.
n/a review_meta openalex
Collaborative Intelligence in Accounting: A Human + AI Complementarity Framework for Professional Work · Cory Ng · May 09, 2026
AI initially boosts China’s low‑altitude economy but delivers diminishing returns: provincial evidence shows an inverted‑U relationship within regions and a U‑shaped spatial spillover across neighbors, while a Big Data Pilot Zone shock supports the robustness of the pattern; human‑capital and innovation channels appear weak or counterproductive in the short term due to resource misallocation.
medium quasi_experimental openalex
A study of the impact of artificial intelligence on the low-altitude economy · Jianhui Yin, Wei Chen, Feiyan Wang · May 09, 2026
A self-configuring, agentic CRM architecture could remove configuration barriers for micro-retailers and boost inventory responsiveness in simulation; real-world impact remains untested and contingent on integration, behavior, and cost factors.
low theoretical openalex
From Configuration to Cognition: A Self-Configuring Agentic CRM Architecture for Small-Scale Retail Enterprises · Praveen Manimangalam · May 09, 2026
AI tools have collapsed the gap between naming and executing causal methods, letting polished but potentially invalid analyses spread widely; the author proposes an 'Analysis Contract' — a pre-commitment regime requiring a method-data contract, a data audit, and explicit disconfirmation criteria — to restore auditability and trust.
n/a theoretical arxiv
Vibe Econometrics and the Analysis Contract · Lydia Ashton · May 08, 2026
Combine human screening with algorithmic targeting: screen cases near the model's cutoff and directly serve the highest predicted-risk individuals; screening becomes more valuable the greater the irreducible uncertainty about vulnerability.
medium theoretical arxiv
The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty · Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Patino, Bryan Wilder · May 08, 2026
Treating AI primarily as chatbots is a value-laden choice that reshapes work and markets — often for the worse. Left unchecked, widespread chatbot adoption risks deskilling users, concentrating technological power, amplifying misinformation, and driving costly infrastructure investments; policy and design should favor task-specific tools, accountability, and pluralistic systems.
low commentary arxiv
What if AI systems weren't chatbots? · Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Avijit Ghosh · May 08, 2026
AI writing assistants are seeding academic papers with fake citations: an audit of 111 million references finds a surge in non-existent bibliographic entries after widespread LLM adoption, concentrated in fast-AI fields and among small or early-career teams. These hallucinated citations disproportionately credit already-prominent, male scholars and often survive moderation and peer review, risking biased and unreliable knowledge accumulation.
medium quasi_experimental arxiv
LLM hallucinations in the wild: Large-scale evidence from non-existent citations · Zhenyue Zhao, Yihe Wang, Toby Stuart, Mathijs De Vaan, Paul Ginsparg, Yian Yin · May 08, 2026
Smooth, curvature-based oversight rules that gently reward probabilistic reports inevitably let strategic agents inflate their reports; switching to sharp binary approval thresholds preserves calibration and, remarkably under the Brier score, eliminates the welfare loss entirely.
n/a theoretical arxiv
The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting · Lauri Lovén, Sasu Tarkoma · May 08, 2026
AI agents don't make wages vanish — compute prices do. In tasks where human and agent labor substitute, human cognitive wages are capped by the cost of rented compute (scaled by agents' compute intensity and relative productivity), moving the key price-setting margin from labor to compute.
n/a theoretical semantic_scholar
Who Prices Cognitive Labor in the Age of Agents? A Position on Compute-Anchored Wages · Siqi Zhu · Fetched May 08, 2026
Generative AI helps break user stories into finer, more complete task lists but can’t yet replace human planners; developers prefer hybrid workflows combining GitLab Duo suggestions with manual review.
medium rct arxiv
Splitting User Stories Into Tasks with AI -- A Foe or an Ally? · Luka Pavlič, Reinhard Bernsteiner, Stephan Schlögl, Christian Ploder · May 08, 2026
A lightweight router called Switchcraft routes tool-using agent queries to the cheapest model that still produces correct outputs, matching top-model accuracy (82.9%) while cutting inference costs by roughly 84% and saving about $3,600 per million queries under the study's pricing assumptions.
medium descriptive arxiv
Switchcraft: AI Model Router for Agentic Tool Calling · Sharad Agarwal, Pooria Namyar, Alec Wolman, Rahul Ambavat, Ankur Gupta, Qizheng ... · May 08, 2026
AI agents must be modeled as social actors, not isolated optimizers: the MASS framework embeds four social-theory priors—heterogeneous strategies, networked dependence, co-evolution, and instability—to explain how multi-agent interactions produce emergent system outcomes. Without this structural lens, evaluation and governance of deployments from social media bots to autonomous fleets risk missing systemic effects and unintended externalities.
n/a theoretical arxiv
Social Theory Should Be a Structural Prior for Agentic AI: A Formal Framework for Multi-Agent Social Systems · Lynnette Hui Xian Ng, Iain J. Cruickshank, Adrian Xuan Wei Lim, Kathleen M. Carl... · May 08, 2026
Runaway self-improving AI coupled with financial amplification can produce an economic blow-up and runaway inequality unless taxes on AI and financial returns are implemented early and sufficiently; delay past a critical time makes redistribution politically impossible.
n/a theoretical openalex
The Economic Singularity: Core Mathematical Model · Mykola Yaremenko · May 08, 2026
Internal divisions in top management drain attention from environmental issues and curb green innovation, and contrary to expectations, AI adoption amplifies this damage rather than offsetting it; analysis of 35,347 firm-year observations (2010–2023) shows faultlines lower eco-attention and AI strengthens the negative impact on green innovation.
medium correlational openalex
When AI Amplifies Negative Echoes: CEO–TMT Faultlines, Eco-Attention, and the Hindrance of Green Innovation · Zhiyu Chen, Jianzu Wu, Chongchong Lyu · May 08, 2026
Deep-learning models (LSTM and Transformer) beat traditional and tree‑based methods in predicting A‑share returns and produce more robust long–short portfolios, according to an out-of-sample 2013–2024 study; gains are visible on a finance‑specific WEI metric and in tail‑risk metrics, though real-world trading frictions could narrow profits.
medium correlational openalex
Optimizing stock market prediction and stock trading strategies with deep learning models enhanced by nonlinear feature identification and robust prediction evaluation · Haoyu Wang, Dejun Xie, Yuqing Duan, Wenze Xiong, D. Z. Chen · May 08, 2026
Autonomous AI agents are already contaminating web metrics: clicks, sessions and conversions can reflect task-based agents and agent-to-agent loops rather than human intent. Web analytics must adopt an agent-aware framework—tracking actor classes, interaction provenance and objective alignment—to restore interpretability and inform governance.
n/a commentary openalex
The Vanishing User: Web Analytics in an Agent-Dominated Internet · Babu George, Divya Choudhary · May 08, 2026
Industrial robots reshape China’s place in global manufacturing: they broaden global value‑chain involvement in capital‑intensive sectors but trim backward linkages in labor‑intensive ones, with effects driven largely by human‑capital upgrading and technological innovation.
medium quasi_experimental openalex
Research on the impact of industrial robot application on the length of global value chains in manufacturing: a backward linkage perspective · Haiqiang Sun · May 08, 2026
Sign-based optimizers can be provably d-times more efficient than SGD when gradient noise is coordinate-sparse and the problem satisfies l_infty-smoothness, and the matrix extension Muon preserves this scaling; a 124M-parameter GPT-2 pretraining run exhibits the predicted faster convergence.
medium theoretical arxiv
When and Why SignSGD Outperforms SGD: A Theoretical Study Based on $\ell_1$-norm Lower Bounds · Hongyi Tao, Dingzhi Yu, Lijun Zhang · May 07, 2026