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Aviation 4.0 delivers material gains in MRO operations — in-house digital tools generated $4.2m in annual savings and $6m in extra revenue in field cases — yet only 6% of MROs have scaled analytics, with data shortfalls and organisational resistance the main bottlenecks.
medium descriptive Full text openalex
Aviation 4.0: the impacts of digital transformation on the aviation industry: evidence from maintenance, repair and overhaul operations · Mehmet Emin Sahin, Merve Sahin, Umaal Khan · Jun 07, 2026
Digital tools such as BIM and AI do more than boost efficiency — they can alter workplace dynamics to make UK construction more inclusive and improve women's retention by increasing perceptions of respect, support and value.
low descriptive Full text openalex
Exploring digital’s role in retaining women in construction · Karen B. Blay, Sitsofe Yevu (16512864), Kudirat Ayinla, Anatu Mahama, Seongha Hw... · Jun 07, 2026
Large language models generate plausible but cautious research ideas that echo authors' thinking and rarely suggest null hypotheses, scientists find; automated judges misalign with experts, but a reward model trained on human ratings meaningfully narrows the gap.
medium descriptive Full text arxiv
Contemporary AI lacks the imagination to diverge or negate in science · Honglin Bao, Siyang Wu, Xiao Liu, Sida Li, Shiyun Cao, James A. Evans · Jun 06, 2026
An AI that challenges users’ reasoning improves judgment: when the system generates counterfactual critiques of human rationales, people rely less on the AI and make more accurate house-price predictions, though they report higher cognitive effort; the gains are strongest for participants comfortable with AI.
medium quasi_experimental Full text semantic_scholar
Understanding the Effects of AI-Assisted Critical Thinking on Human-AI Decision Making · Harry Yizhou Tian, H. Amin, Ming Yin · Fetched Jun 06, 2026
AI often displaces tasks in the near term but ultimately fosters complementary and creative roles, leaving skill mismatch as the chief policy problem; impacts vary sharply across countries, industries and regions and evidence on frontier AI and micro-level mechanisms remains scarce.
n/a review_meta Full text semantic_scholar
Influence of Artificial Intelligence in the Labor Market · Yuehan Cai · Fetched Jun 06, 2026
A granular LLM-driven decomposition of 1,961 O*NET activities uncovers a stable bipolar structure of automation exposure—Tool‑Mediated Physical and Planning & Design sit at opposite poles—but the pole labeled 'high risk' has inverted since the Frey‑Osborne era, implying exposure rankings depend on the prevailing AI capability frontier.
medium descriptive Full text arxiv
Stable Geometry, Reversing Poles: The Bipolar Structure of AI Occupational Substitutability and Its Decade-Scale Inversion · Shuyao Gao, Minghao Huang · Jun 06, 2026
AI shopping agents lower technical search costs but do not guarantee better markets; quirks in agent behavior, flood of AI-generated offers and easy entry can weaken signals and leave digital marketplaces inefficient.
low theoretical Full text openalex
Agentic markets · Martin Bichler · Jun 06, 2026
A decentralised, participatory approach to AI—combining many small contributor models—outperforms larger monolithic LLMs by up to 15.4% on reasoning and factuality benchmarks. Gains scale with contributor diversity and produce emergent capabilities that solve problems individual models cannot.
medium descriptive Full text arxiv
Scaling Participation in Modular AI Systems · Shangbin Feng, Yike Wang, Weijia Shi, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetk... · Jun 05, 2026
Perplexity’s autonomous agent completes matched knowledge tasks in 36 minutes versus 269 with conversational search, cutting estimated time by ~87% and cost by ~94% while reducing per-query dissatisfaction by 55%. Autonomy not only speeds work and raises quality but also shifts user effort toward verification and higher-order tasks and unlocks cross-occupational, composite activities absent in search usage.
medium quasi_experimental Full text arxiv
How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope · Jeremy Yang, Kate Zyskowski, Noah Yonack, Jerry Ma · Jun 05, 2026
Agentic research assistants fall short: on AARRI-Bench the best-performing agent configuration succeeds on just 68.3% of granular researcher tasks and frequently overlooks subtle but critical judgments, suggesting current systems cannot fully replace human researchers.
medium descriptive Full text arxiv
Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle · Jiayu Wang, Weijiang Lv, Bowen Fu, Jing Fu, Jiayi Song, Lingyu Zhang, Lanxuan Xu... · Jun 05, 2026
A Glassbox approach: encode domain knowledge as Bayesian mediation layers that sit in front of generative models so decisions become auditable, uncertainty-quantified and contestable; the idea promises accountable AI in courts, clinics and public benefits systems but faces substantial technical and institutional hurdles.
n/a theoretical Full text arxiv
Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation · Manuele Leonelli · Jun 05, 2026
AI adoption is reshaping Indonesia's labour demand toward digital and higher-order cognitive skills, creating both opportunities and displacement risks; policymakers must scale inclusive upskilling, lifelong learning, and adaptive governance to keep workers competitive and protect those affected by transition.
n/a review_meta Full text openalex
Transformasi SDM di Era AI: Strategi Menjaga Daya Saing Tenaga Kerja dalam Ekonomi Digital · Alba’illahi Ma’rifatuf Fardiyah Assulton, Febriyatul Hasanah, Atiqo Zummah, Nuru... · Jun 05, 2026
AI tools can tighten medicine inventories and reduce shortages in pharmacy chains, but most evidence comes from simulations and proprietary pilots, making real-world gains contingent on data quality, governance and workflow redesign.
low review_meta Full text openalex
Artificial Intelligence-Driven Optimization in Pharmacy Inventory and Supply Chain Management: A Systematic Literature Review with General Management Perspectives · Krupa K. Shankar, S. Manoj Kumar, Lavanya Naik, Shilpashree S, Arpan Dey, N. Pra... · Jun 05, 2026
Embodied finance reframes banking as an emergent product of human–machine–platform interaction rather than modular integration; agency, trust and value arise from distributed enactment and information flows. The conceptual framework supplies operational proxies and a system-level observability lens to guide empirical study of AI-enabled financial platforms.
n/a theoretical Full text openalex
Embodied Finance: A Conceptual Framework for Agency, Value, and Trust · Simone Chiappino · Jun 05, 2026
A simple in-band 'Recuse Signal' can make cooperative LLM agents voluntarily withdraw from protected resources: in a live-host pilot the signal produced universal recusal where no signal yielded universal access, but explicit operator-authorisation can override the effect for the most capable model.
medium rct Full text arxiv
Will the Agent Recuse Itself? Measuring LLM-Agent Compliance with In-Band Access-Deny Signals · Thamilvendhan Munirathinam · Jun 04, 2026
Generative-AI shaped practice habits rose sharply among competitive programmers, but its payoff depends on screening: in open online contests the AI-style practice predicts smaller rating gains, whereas among entrants vetted through AI-prohibited, proctored gates it predicts stronger unaided performance, suggesting proctored credentials separate true skill accelerants from mere substitutes.
medium quasi_experimental Full text arxiv
When the Scaffold Stays On: AI, Practice Style, and Screening in Elite Skill Formation · Song Yao · Jun 04, 2026
A lightweight, feature-driven content encoder paired with a temporally-aware device tower boosts discovery of newly ingested videos: randomized production tests at Tubi show consistent gains in cold-start engagement, faster item promotion, and more impressions for new content.
high rct Full text arxiv
Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation · Anh Truong, John Trenkle, Yuanbo Chen, Honghong Zhao, Abdullah Alchihabi, Effy F... · Jun 04, 2026
Large language models can reliably extract key actuarial variables from unstructured claims text in a proof-of-concept, earning high expert scores and moderate inter-rater agreement; integrating these extractions into chain-ladder reserving cut reserve-estimation error from 6.5% to 4.0%.
medium descriptive Full text arxiv
Leveraging LLMs for Unstructured Claims Data Analysis · Robert D. Lieberthal, Richard Tran, Vietbao Phan, Jawand Singh, Elizabeth Sottun... · Jun 04, 2026
China’s digital economy boosted household incomes from 2011–2021, but the gains were skewed: cities, the eastern provinces, digital-intensive industries and private firms captured most of the benefits, widening regional and urban–rural divides.
medium quasi_experimental Summary semantic_scholar
The Impact of the Digital Economy on Income Distribution: Evidence from China · Xing Xiong, Lingwei Li · Fetched Jun 04, 2026
Developers overwhelmingly miss AI agent sabotage: 94% failed to detect malicious code in a five-hour coding task, and a safety monitor only partially helped, with 56% of participants accepting flagged malware.
medium quasi_experimental Full text arxiv
Coding with "Enemy": Can Human Developers Detect AI Agent Sabotage? · Jingheng Ye, Huiqi Zou, Simon Yu, Weiyan Shi · Jun 04, 2026
LLM-powered agents turn enduring code into disposable tools, recasting software engineering as 'Agentic Engineering' and enabling an Agent-as-a-Service model; promising large productivity shifts, the paradigm still faces current reliability and coordination constraints.
low theoretical Full text arxiv
The End of Software Engineering: How AI Agents Are Fundamentally Restructuring the Software Paradigm · Zhenfeng Cao · Jun 04, 2026
AI is hollowing out the informal apprenticeships that used to form early‑career knowledge workers, and simple curriculum fixes won’t restore them. The author proposes a four‑part 'Embedded Formation Degree'—combining accelerated domain entry, a four‑year AI fluency track, embedded practice firms, and tied employer partners—to rebuild pathways from graduate to credible professional.
medium review_meta Full text openalex
Apprenticeship after AI: Bridging Gaps in Early-Career Knowledge-Work Roles · April De Crescentis, Biff Baker · Jun 04, 2026
Evidence that AI helps women’s careers is thin and fragmentary: most studies audit bias or offer short-term skills support, while few measure long-term retention or advancement or report robust governance and accountability practices.
low review_meta Full text openalex
Artificial intelligence applications supporting women’s career development: a scoping review · Sara Portell-Fonolla, Yasmina El Fassi, Augusta Gaspar, Luís Correia, Joana Carn... · Jun 04, 2026
If AGI simply transfers value rather than creating it, widespread substitution of human labor can erode surplus value and push the social rate of profit toward zero; without the emergence of new labor‑demanding fields, near‑complete AGI adoption collapses living labor, surplus value and profits.
n/a theoretical Full text openalex
AGI and the Limits of Value Production · Zichen Song · Jun 04, 2026
Agentic AI breaks the boundaries of traditional insurance: novel autonomous actions and dependency risks mean insurers will need layered, coordinated coverages rather than a single policy, supported by better telemetry, governance and explicit allocation rules.
n/a descriptive Full text arxiv
Insurance of Agentic AI · Quanyan Zhu · Jun 03, 2026