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

Papers (1699)

Filter: Sort:
Automated tax systems often raise compliance and cut administration costs, but their benefits are conditional: low digital literacy, weak trust and unclear regulation erode gains and can trigger taxpayer resistance.
medium review_meta Full text openalex
The Influence of Automation on Tax Compliance Behaviour · Alexander Oluka · Mar 17, 2026
Marrying formal argumentation with large language models could make AI decisions inspectable and contestable, creating demand for verifiable AI services in regulated sectors; at the same time it will shift experts toward adjudication and oversight and create new governance needs.
n/a theoretical Full text arxiv
Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us · Stylianos Loukas Vasileiou, Antonio Rago, Francesca Toni, William Yeoh · Mar 16, 2026
Generative legal AI delivers fluent but fallible advice: its persuasive hallucinations and opaque reasoning risk embedding errors into legal processes and eroding judicial independence unless regulators demand effective human oversight and verifiable verification, a shift that will reshape adoption, liability costs and legal labor markets.
n/a commentary Full text arxiv
Why Avoid Generative Legal AI Systems? Hallucination, Overreliance, and their Impact on Explainability · Gizem Gültekin Varkonyi · Mar 16, 2026
An AI pipeline produced a machine-verified mathematical formalization in 10 days under a single supervisor, automating coding and lemma-proving but still requiring expert oversight; the case shows high-skill scientific tasks can be substantially automated in practice, though verification and definition-alignment remain critical bottlenecks.
low descriptive Full text arxiv
Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium · Vasily Ilin · Mar 16, 2026
The architecture of long‑lived, physical AI agents will determine whether they deliver broad economic gains or become costly, unsafe liabilities. Prioritizing evolvability, secure identities, semantic interoperability and observability can prevent expensive lock‑in, reduce systemic risk, and unlock faster, safer adoption.
n/a theoretical Full text arxiv
The Internet of Physical AI Agents: Interoperability, Longevity, and the Cost of Getting It Wrong · Roberto Morabito, Mallik Tatipamula · Mar 16, 2026
Emboldened autonomy can amplify crises: embodied AI in critical infrastructure must be constrained and paired with human oversight to prevent cascading failures, with clear, auditable allocations of machine capability and human judgement guiding deployment and regulation.
low theoretical Full text arxiv
Resilience Meets Autonomy: Governing Embodied AI in Critical Infrastructure · Puneet Sharma, Christer Henrik Pursiainen · Mar 16, 2026
People cooperate readily with a powerful chatbot, but not as completely as with humans: natural-language chat with GPT-5.2 yields high initial cooperation yet a persistent plateau below the near-universal cooperation seen in human pairs, because conversations with the AI prompt explicit conditional rules rather than trust-building social signals.
medium rct Full text arxiv
Playing Against the Machine: Cooperation, Communication, and Strategy Heterogeneity in Repeated Prisoner's Dilemma · Chowdhury Mohammad Sakib Anwar, Konstantinos Georgalos · Mar 16, 2026
A single compromised LLM can hijack group decisions in multi-agent systems via a persuasion cascade; dynamically reducing trust in suspected adversaries (while tuning agent stubbornness and scale) curbs influence at the cost of some coordination or compute overhead.
low theoretical Full text arxiv
Don't Trust Stubborn Neighbors: A Security Framework for Agentic Networks · Samira Abedini, Sina Mavali, Lea Schönherr, Martin Pawelczyk, Rebekka Burkholz · Mar 16, 2026
A new Pokemon-based benchmark exposes large capability gaps on multi-agent, partial-observability and long-horizon planning tasks: specialist RL systems and human experts outperform generalist LLMs, and a 20M+ trajectory dataset plus a NeurIPS competition confirm strong community interest and reproducible evaluation.
n/a descriptive Full text arxiv
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale · Seth Karten, Jake Grigsby, Tersoo Upaa, Junik Bae, Seonghun Hong, Hyunyoung Jeon... · Mar 16, 2026
iDaVIE—an open-source VR toolkit—lets astronomers interactively inspect and edit very large 3D spectral data cubes in real time, accelerating quality-control and mask-refinement workflows and producing higher-quality inputs for ML pipelines; adoption improves inspection throughput in practice but requires VR-capable hardware and integration effort.
low descriptive Full text arxiv
iDaVIE v1.0: A virtual reality tool for interactive analysis of astronomical data cubes · Alexander Sivitilli, Lucia Marchetti, Angus Comrie, P. Cilliers Pretorius, Thijs... · Mar 16, 2026
Prepackaged 'skills' for coding agents rarely move the needle: in a 565-task benchmark across 49 skills, most skills produced no test-pass improvements and only a handful delivered substantial gains, with some even harming outcomes when guidance conflicted with project context.
medium quasi_experimental Full text arxiv
SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering? · Tingxu Han, Yi Zhang, Wei Song, Chunrong Fang, Zhenyu Chen, Youcheng Sun, Lijie ... · Mar 16, 2026
Current AI architectures lack the mechanisms for sustained, autonomous learning; a three-part design that integrates observation, active experimentation and an internal meta-controller could unlock more adaptable, sample-efficient agents and accelerate automation in embodied and social tasks.
n/a theoretical Full text arxiv
Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science · Emmanuel Dupoux, Yann LeCun, Jitendra Malik · Mar 16, 2026
Structured domain guidance (SKILL.md) reliably boosts LLM agents' telecom operations competence, raising success rates across models by up to ~19 percentage points; MiniMax M2.5 leads at 81.1% success with the skill augmentation.
medium descriptive Full text arxiv
SKILLS: Structured Knowledge Injection for LLM-Driven Telecommunications Operations · Ivo Brett · Mar 16, 2026
AI assistant Gemini did not improve code security in a controlled developer experiment; developers' own programming experience—rather than the tool—drove more secure outcomes.
medium rct Full text arxiv
The Impact of AI-Assisted Development on Software Security: A Study of Gemini and Developer Experience · Nadine Jost, Benjamin Berens, Manuel Karl, Stefan Albert Horstmann, Martin Johns... · Mar 16, 2026
A probe-then-plan LLM system deployed at JD.com lifts relevant recall and conversion, producing measurable increases in gross merchandise value; lightweight retrieval probes let the planner ground decisions in live inventory without incurring prohibitive latency.
medium rct Full text arxiv
Probe-then-Plan: Environment-Aware Planning for Industrial E-commerce Search · Mengxiang Chen, Zhouwei Zhai, Jin Li · Mar 16, 2026
Tailored AI coaching measurably improves how people express empathy: a randomized trial finds personalized LLM feedback produces more normatively empathic replies than generic training or no intervention. But identical messages lose perceived authenticity when recipients are told they came from AI, highlighting a trade-off between content quality and attribution.
high rct Full text arxiv
Practicing with Language Models Cultivates Human Empathic Communication · Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh · Mar 16, 2026
The parts of large language models that make them economically valuable are not simply 'rules in disguise'—they are tacit, practice‑derived competences that resist full human‑readable extraction, boosting rents for model providers and shifting policy toward outcome‑based auditing and behavioral testing.
low theoretical Full text arxiv
Why the Valuable Capabilities of LLMs Are Precisely the Unexplainable Ones · Quan Cheng · Mar 16, 2026
A retrospective, time-split test finds retrieval-augmented AI idea generators produce roughly 2.5× more ideas that later become influential papers than vanilla models — a difference missed by LLM judges, which tend to overvalue novel-sounding but ultimately unmaterialized ideas.
medium quasi_experimental Full text arxiv
HindSight: Evaluating LLM-Generated Research Ideas via Future Impact · Bo Jiang · Mar 16, 2026
Tasks that give workers agency and happiness are more likely to be exposed to AI, raising concerns about erosion of meaningful work; meanwhile, developers design systems around politeness and imagination, whereas workers want straightforward, tolerant, practical tools.
medium descriptive Full text arxiv
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning · Jaspreet Ranjit, Ke Zhou, Swabha Swayamdipta, Daniele Quercia · Mar 16, 2026
AI is becoming a research productivity layer that speeds idea-to-publication workflows and tends to raise research outputs and quality; institutions that adopt and integrate these tools effectively may widen their competitive lead while unequal access risks amplifying academic stratification.
medium review_meta Summary openalex
Artificial Intelligence for Improving Research Productivity and Knowledge Creation in Higher Education Institutions: Nano Review · Horn Sarun, In Nara, Him Hun · Mar 16, 2026
Delivering development in Cameroon Pidgin sharply raised comprehension and uptake—health-message comprehension rose by over 30 percentage points and agricultural techniques were nearly universally adopted—while vernacular-speaking volunteers were socially integrated and granted traditional legitimacy; the study argues that linguistic sovereignty, not mere translation, is central to effective, sustainable aid and should reshape data, modeling, and governance priorities for AI-enabled development.
low descriptive Full text openalex
From Linguistic Hybridity to Development Sovereignty: Pidgin English, the American Peace Corps, and the Decolonization of African Development · Eric Dzeayele Maiwong · Mar 16, 2026
AI automates managers' information-processing chores while elevating strategic, relational and ethical tasks into hybrid decision zones, forcing firms to redesign roles, governance and upskilling; without human‑in‑the‑loop checkpoints and clear accountability, algorithmic optimisation risks misaligned decisions and coordination failures.
n/a theoretical Full text openalex
Comparative analysis of strategic vs. computational thinking in management · Iryna Nyenno · Mar 16, 2026
Chinese publicly listed firms that emphasize big-data use see higher firm value, and that payoff becomes stronger after China's landmark data-protection law; the result suggests robust privacy rules can amplify corporate gains from data-driven operations.
medium quasi_experimental Summary openalex
How Big Data Enhances Firm Value Under Data Privacy Regulation · Zekai Yan, Xuan Cai · Mar 16, 2026
Consensus can mask fragility: organizations that suppress divergent reports create the illusion of agreement and miss accumulating tail risks until abrupt correction. Simple governance diagnostics—recorded dissent patterns, voting-anonymous gaps, and method/pipeline diversity—can distinguish healthy integration from dangerous exclusion.
n/a theoretical Summary openalex
Cohesion as Concentration: Exclusion-Driven Fragility in Financial Organizations · Foong Soon Cheong · Mar 16, 2026
Deep reinforcement learning can outperform static portfolio rules but also concentrates risk and consumes large compute; regulators and firms must impose interpretability, crowding safeguards and sustainability standards before wide deployment.
n/a review_meta Full text openalex
Deep Reinforcement Learning for Dynamic Portfolio Optimization in Financial Markets · Helena J. Sterling, Marcus V. Thorne · Mar 16, 2026