The Commonplace
Home Papers Evidence Explore Trends Syntheses Digests About 🎲 Workforce Futures

Papers (1747)

Filter: Sort:
A stateless memory design gives enterprises the auditability and determinism they need without sacrificing accuracy: Deterministic Projection Memory cuts decision-time LLM calls to one, runs 7–15× faster under tight budgets and improves factual precision and reasoning coherence markedly versus summarization pipelines at 20× compression.
medium other Full text arxiv
Stateless Decision Memory for Enterprise AI Agents · Vasundra Srinivasan · Apr 22, 2026
A spreadsheet assistant that reveals its stepwise decisions lets users catch mistakes and feel ownership: exposing and controlling each action led participants to detect errors, understand the task better, and view themselves as collaborators rather than passive reviewers.
medium quasi_experimental Full text arxiv
Auditing and Controlling AI Agent Actions in Spreadsheets · Sadra Sabouri, Zeinabsadat Saghi, Run Huang, Sujay Maladi, Esmeralda Eufracio, S... · Apr 22, 2026
A rights‑based 'white‑box' protocol would require Mexican fintechs to make credit and financial algorithms transparent, auditable and non‑discriminatory to protect citizens' digital sovereignty and financial inclusion. While these rules aim to curb bias and strengthen oversight, they risk raising compliance costs and favoring incumbents unless paired with sandboxes, shared datasets and capacity support.
low review_meta Summary openalex
Diego Saucedo Portillo Sauceport Research · Diego Saucedo Portillo · Apr 22, 2026
A Mexican legal blueprint would make 'Digital Sovereignty' a constitutional right and require 'white‑box' audits for credit algorithms, enforcing transparency and anti‑discrimination in fintech. The measures are likely to favour well‑capitalised incumbents and spawn a certification/audit industry, while risking higher short‑run lending costs and barriers for small providers unless offset by proportional rules or sandboxes.
low theoretical Full text openalex
Diego Saucedo Portillo Sauceport Research · Diego Saucedo Portillo · Apr 22, 2026
Generative-AI algorithms are quietly binding gig couriers to platforms, eroding the employee/contractor divide; courts should test for substantive algorithmic control, legislatures should create a 'quasi-employee' status with tiered protections, and platforms must bear greater algorithmic accountability.
n/a commentary Full text openalex
AIGC+ Determination of Labor Relations in the Context of the “Gig Economy” · Manyu Wei · Apr 22, 2026
U.S. chip export controls rewire, not sever, Sino‑technology links: Beijing’s defensive substitution and regulatory countermeasures are reshaping supply chains into a durable, politically segmented decoupling rather than dissolving interdependence.
low theoretical Full text openalex
Weaponized Interdependence and Dynamics of Partial Decoupling: Chokepoints, Adaptation, and the Security Dilemma in Advanced Technologies · Mofei Shen · Apr 22, 2026
Making AI reviewable and usable in government can backfire: codified procedures improve oversight on paper but create a playbook for successors to legally entrench politicized decisions, increasing strategic exploitation and locking in automation expansions.
n/a theoretical Full text openalex
AI Governance under Political Turnover: The Alignment Surface of Compliance Design · Andrew J. Peterson · Apr 22, 2026
AI traders reliably pool private signals in simple prediction markets but falter when information structures grow complex; smarter models do better, yet feedback on past performance unexpectedly undermines market accuracy and profits.
medium other Full text arxiv
Information Aggregation with AI Agents · Spyros Galanis · Apr 21, 2026
AI agents often echo their human owners: autonomous Moltbook agents reproduce owners' linguistic style, topics and affect, and agents that more closely mirror owners are more likely to divulge owner-related personal information, raising privacy and governance concerns.
medium correlational Full text arxiv
Behavioral Transfer in AI Agents: Evidence and Privacy Implications · Shilei Luo, Zhiqi Zhang, Hengchen Dai, Dennis Zhang · Apr 21, 2026
Generic AI assistants confidently decide when evidence is missing and fail most inconclusive unemployment-adjudication cases, scoring about 15% on insufficient-information instances; a structured prompting checklist (SPEC) boosts accuracy to 89% while correctly deferring decisions when facts are inadequate.
medium descriptive Full text arxiv
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication · Mohamed Afane, Emily Robitschek, Derek Ouyang, Daniel E. Ho · Apr 21, 2026
A system that jointly adapts task scheduling and robot motion to individual human behavior (RAPIDDS) makes human-robot teams more efficient and safer, outperforming non-adaptive planners in simulation and a 32-participant lab study; improvements hold across objective metrics (speed, proximity) and subjective measures (fluency, preference).
medium quasi_experimental Full text arxiv
Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming · Alex Cuellar, Michael Hagenow, Julie Shah · Apr 21, 2026
Tool-augmented LLMs can reliably handle complex quantitative finance queries: in a 100-question benchmark, top agents achieved near-perfect tool selection and minimal hallucination, underscoring external tools as the path to dependable numerical reasoning.
medium descriptive Full text arxiv
Time Series Augmented Generation for Financial Applications · Anton Kolonin, Alexey Glushchenko, Evgeny Bochkov, Abhishek Saxena · Apr 21, 2026
Scholarly metadata will not be solved by a binary choice between open access and commercial enclosure; a lasting 'innovation annulus' between free structured data and premium refinement is functional and must be calibrated, not eliminated, as AI lowers basic structuring costs but raises provenance and refinement thresholds.
n/a theoretical Full text arxiv
Market Dynamics, Governance and Open Research Metadata in the AI Era · Daniel W. Hook · Apr 21, 2026
An audit of a college Early Warning System shows it misallocates support: younger, male and international students are over-flagged while older and female students are under-identified. Compressing continuous risk scores into percentile tiers further magnifies these inequities across the intervention pipeline.
medium descriptive Full text arxiv
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines · Kelly McConvey, Dipto Das, Maya Ghai, Angelina Zhai, Rosa Lee, Shion Guha · Apr 21, 2026
A simple evaluation-driven scaling strategy (SimpleTES) lets relatively modest LLMs outperform larger baselines across 21 scientific tasks — doubling LASSO speed, cutting quantum gate overhead by 24.5%, and finding new combinatorial constructions — and trajectory-based retraining improves generalization to new problems.
medium descriptive Full text arxiv
Evaluation-driven Scaling for Scientific Discovery · Haotian Ye, Haowei Lin, Jingyi Tang, Yizhen Luo, Caiyin Yang, Chang Su, Rahul Th... · Apr 21, 2026
Researchers propose shifting AI agents from single-user task automation to permanent, identity-bound agents that represent people in multi-user collaboration, backed by layered identity, per-identity authorization, and action-level audit logs; they demonstrate the idea with a prototype framework, ClawNet, but provide no field evidence of real-world impact.
n/a theoretical Full text arxiv
ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation · Zhiqin Yang, Zhenyuan Zhang, Xianzhang Jia, Jun Song, Wei Xue, Yonggang Zhang, Y... · Apr 21, 2026
Augmenting tabular housing-placement models with fine-tuned LLM casenote summaries raises accuracy and narrows error disparities in a nonprofit dataset; zero-shot LLM use produces mixed fairness effects and findings are limited by short, redacted notes and single-site data.
low correlational Full text arxiv
Auditing LLMs for Algorithmic Fairness in Casenote-Augmented Tabular Prediction · Xiao Qi Lee, Ezinne Nwankwo, Angela Zhou · Apr 21, 2026
Governance frays as decision systems grow smarter: rule engines support full accountability, hybrids only partial recovery, classical ML offers scant traceability, and agentic AI creates structural breaks — decision diffusion, evidence fragmentation, and responsibility ambiguity — that existing governance frameworks cannot reliably bridge.
n/a theoretical Full text arxiv
Governed Auditable Decisioning Under Uncertainty: Synthesis and Agentic Extension · Oleg Solozobov · Apr 21, 2026
Asset managers now oversee more capital per worker: AUM per employee rose sharply during the indexing wave and continued to climb in the AI/automation era, indicating larger-scale capital management rather than proving technology caused the change.
low descriptive Full text arxiv
From Clerks to Agentic-AI: How will Technology Change Labor Market in Finance? · Lu Yu, Xiang Li · Apr 21, 2026
Digital trade cuts emissions only with the right complements: global value chain participation lowers CO2, but digital trade generates significant decarbonization only alongside AI-enabled logistics and carbon prices above about $40/tonne, with renewable energy and strict regulation further strengthening the effect.
medium correlational Summary openalex
From Digital Trade to Climate Gains: How Global Value Chains and Carbon Pricing Drive CO2 Reductions in OECD Economies · Nour A. J. Azam, Yao Liu, Sajal Kabiraj, Mohammed Azam, Omar Abu Risha · Apr 21, 2026
Stronger AI capabilities correlate with better competitive intelligence in Zimbabwean firms, and that enhanced CI is linked to higher corporate growth and improved sustainability; interviews suggest AI only delivers strategic value when embedded in CI routines.
low correlational Full text openalex
Harnessing Competitive Intelligence and AI for Corporate Growth and Sustainability · Alexander Maune · Apr 21, 2026
Generative AI is already used by roughly one in eight European workers, concentrated in exposed occupations and more digitalised countries; yet early adopters show no clear evidence that AI has begun to reshape workers' task content.
medium quasi_experimental Full text arxiv
Generative AI at Work: From Exposure to Adoption across 35 European Countries · Golo Henseke · Apr 20, 2026
In a 22-person lab experiment, GitHub Copilot raised immediate coding performance and reduced workload compared with human pair partners, but human partners produced more positive emotional experiences and possibly better one-week retention.
medium rct Full text arxiv
Fast and Forgettable: A Controlled Study of Novices' Performance, Learning, Workload, and Emotion in AI-Assisted and Human Pair Programming Paradigms · Nicholas Gardella, James Prather, Juho Leinonen, Paul Denny, Raymond Pettit, Sar... · Apr 20, 2026
Language-model traders replicate human-like mispricing and trading patterns in simulated auctions, and simple prompt tweaks reliably amplify or damp market bubbles; the result shows policymakers and designers can causally steer AI-driven market behavior but warns findings are model- and setting-specific.
medium rct Full text arxiv
Dissecting AI Trading: Behavioral Finance and Market Bubbles · Shumiao Ouyang, Pengfei Sui · Apr 20, 2026
An AI agent layer paired with a live digital twin automates network change validation, detecting all injected errors and delivering 92–96% diagnostic coverage while cutting validation time to under seven minutes in the authors' tests; results are promising but rely on synthetic scenarios and incidents from a single operator.
medium descriptive Full text arxiv
Aether: Network Validation Using Agentic AI and Digital Twin · Jordan Auge, Sam Betts, Giovanna Carofiglio, Giulio Grassi, Martin Gysi, John Ke... · Apr 20, 2026