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Papers (1747)

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Advanced AI molecular representations and generative models promise to speed drug discovery by predicting PD and toxicity earlier and enabling de novo design; but most demonstrated gains are in silico or preclinical and depend critically on data quality, 3D fidelity and still-maturing quantum approaches.
n/a review_meta Summary semantic_scholar
Artificial intelligence in drug discovery from advanced molecular representation to pipeline applications · Xiaoyu Zhou, Weijing Tao · Fetched Apr 20, 2026
Policy-backed AI deployment strengthens manufacturing supply-chain resilience in China: firms tied to the National AI Pioneer Zone exhibit better recoverability and adaptability after shocks, driven mainly by gains in total factor productivity and continuous technological innovation, with the biggest benefits for large, private and agile firms.
medium quasi_experimental Summary semantic_scholar
The impact mechanism of artificial intelligence on the resilience of manufacturing supply chains and empirical examination · Jianhua Zhu, Qi Zheng · Fetched Apr 20, 2026
Hybrid AI tools materially speed and de-bias diplomatic decision-making: controlled Human-in-the-Loop experiments and simulated UN, EU and AU cases show hybrid teams reached agreement 23% faster and exhibited a 17% reduction in measured cognitive bias, though implementation raises accountability and sovereignty risks.
medium quasi_experimental Summary semantic_scholar
Strategic Cognition and Artificial Diplomacy: Designing Human-AI Collaboration Architectures for International Negotiation Environments · Plamen Teodosiev, S. Markov · Fetched Apr 20, 2026
A World Bank–sourced AI evidence engine helped policy and development experts reclaim roughly 2.4–3.9 hours per week by producing verifiable syntheses and declining unsupported queries; the result comes from an observational DiD analysis of in-the-wild use and mixed-methods triangulation, so selection and measurement caveats remain.
medium quasi_experimental Full text arxiv
Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research · Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzón Hernández, Reza Yazda... · Apr 20, 2026
AI can automate cognitive tasks at scale, but institutions will decide who wins and who loses. Labor laws, education systems and corporate governance, not technological inevitability, will determine the scale of displacement and the distribution of gains; policy tools such as UBI, portable benefits, retraining and taxation will shape outcomes.
medium review_meta Summary openalex
Artificial Intelligence And The Transformation of Labor Markets · Sabu P J · Apr 20, 2026
Enterprises should treat LLM adoption as a phased continuum: begin with third‑party APIs for speed and predictable costs, then evolve toward hybrid or self-hosted setups as differentiation needs and scale justify higher engineering and data investments; a document-processing case (the Bills Converter) favored a closed-source API first for pragmatic cost, time-to-market and data constraints.
low descriptive Full text openalex
Buy Or Build? A Practitioner’s Framework for Large Language Model Integration in Enterprise Systems · Dr. Khaled EL Tannir · Apr 20, 2026
AI's infrastructural consolidation is creating geocognitive power poles; full-stack sovereignty is unrealistic, so states should build institutional capacity to govern structured dependence rather than chase autonomy. The paper proposes a 'Governed Interdependence' paradigm and a Governance Membrane (with compliance and dependence indices) as a practical framework for managing asymmetric AI infrastructures.
n/a theoretical Full text openalex
Digital Sovereignty in the Global Cognitive-Informational Order: Geocognitive Power Poles and Governed Interdependence · · Apr 20, 2026
AI techniques often outperform traditional risk models in emerging-market finance by up to around 35%, but the evidence base is patchy and seldom validated in real-world deployments; gaps in explainability, regulatory alignment and context-specific evaluation risk undermining safe, scalable adoption.
medium review_meta Full text openalex
AI-Driven Financial Risk Management and Decision Intelligence in Emerging Markets: A Scoping Review · Dr. Shankar Subramanian Iyer, Rajesh Arora, Dr Divakar G.M., Dr Brinitha Raji, P... · Apr 20, 2026
German industrial firms' M&A spree has stitched digital capabilities into a dense web of interconnections—'Industry 4.0 Inc.'—strengthening ties among incumbents and encouraging coordination over atomized competition.
medium descriptive Summary openalex
Industry 4.0 Inc.—Mergers and acquisitions and the digital transformation of German industry · Michael Schwan, Christine Trampusch, Jonas L. Horn · Apr 20, 2026
AI-assisted text-to-model authoring halved expert effort to build structured procedural skill models for an online AI course, producing valid and reproducible schemas; but the results come from 23 models in one graduate-level course and still require expert oversight.
medium descriptive Full text arxiv
Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach · Rahul K. Dass, Shubham Puri, Arpit Khandelwal, Xiao Jin, Ashok K. Goel · Apr 19, 2026
Global AI research has coalesced around two poles centered on the US and China, with the UK and Germany tied chiefly to the US while many European countries bridge both; the fact that developing countries tend to integrate mainly with China underscores Beijing’s expanding influence and complicates efforts to build unified international AI governance.
medium descriptive Full text arxiv
Polarization and Integration in Global AI Research · Luca Gallo, Riccardo Di Clemente, Balázs Lengyel · Apr 19, 2026
Inference-layer gatekeepers can subtly shut out rivals by degrading latency, throughput or routing; the model finds discrimination grows when AI-quality matters more and downstream margins are high, and a four-pillared 'Neutral Inference' policy is proposed to restore parity.
n/a theoretical Full text arxiv
The Inference Bottleneck: A Formal Model of Vertical Foreclosure in AI Markets · Gaston Besanson · Apr 19, 2026
A 'continuity layer' that preserves a model's accumulated understanding — not bigger models or larger contexts — is the missing infrastructure for persistent AI competence, the authors argue; they propose a concrete storage primitive and an evaluation framework and insist that governance must be embedded in the architecture.
n/a theoretical Full text arxiv
The Continuity Layer: Why Intelligence Needs an Architecture for What It Carries Forward · Samuel Sameer Tanguturi · Apr 19, 2026
Firms that adopt advanced AI record average labor productivity gains of 5–12% within a few years, but the benefits disproportionately accrue to high-income countries (8–12%) while emerging economies see smaller gains (2–6%) and larger short-term losses in routine jobs; outcomes hinge on digital infrastructure, skills and regulation.
medium review_meta Full text openalex
S-TCO: A Sustainable Teacher Context Ontology for Educational Support Systems · Nader N. Nashed · Apr 19, 2026
There is no single AI policy that guarantees regional industrial competitiveness in China; provinces achieve sustainable gains through one of three distinct policy mixes that consistently include R&D support, talent development and application demonstration.
low correlational Summary openalex
How Can Artificial Intelligence Policies Promote the Sustainable Enhancement of Regional Science and Technology Industrial Competitiveness? A Fuzzy-Set Qualitative Comparative Analysis (fsQCA) of Policy Instruments · Xueqing Pei, Chunlin Li · Apr 19, 2026
Blocking open-weight AI risks concentrating capability and pushing development underground; chip-level attestation and a multilateral safeguards regime offer a pragmatic alternative to a binary openness-or-restriction choice.
n/a theoretical Full text openalex
The Open-Weight Paradox: Why Restricting Access to AI Models May Undermine the Safety It Seeks to Protect · Vinicius Santana Gomes · Apr 19, 2026
Multimodal AI will make typing a specialist relic rather than the default of knowledge work, turning employees from keystroke-producers into adversarial verifiers and forcing firms to redesign interfaces and workflows around verification.
low theoretical Full text arxiv
The Instrumental Dissolution of Typing: Why AI Challenges the Keyboard Era in Knowledge Work · Wei Roy Hua · Apr 18, 2026
Higher education, gender‑balanced leadership and digital literacy raise trust in ML credit scoring and increase FinTech adoption in the surveyed developing‑country sample; but perceived algorithmic unfairness and lack of transparency continue to exclude marginalized groups.
low correlational Full text openalex
A Machine Learning Perspective on FinTech-Driven Inclusion: Addressing Algorithm Bias in Credit Scoring Systems in Developing Economies · · Apr 18, 2026
HR technology in Marathwada appears to cut hiring time and costs substantially while improving early employee performance, but the evidence relies on self-reported comparisons and flags algorithmic bias and readiness gaps.
low correlational Full text openalex
A Study on the Effectiveness of Technology-Driven Recruitment and Selection Practices in Modern Organizations · Prashant Madhukar Khedkar · Apr 18, 2026
AI is transforming interdependence into leverage: states can now use data and algorithms to monitor and disrupt trade, finance, and supply chains, turning previously mutual economic ties into instruments of coercion; the result is a global push for resilience, technological sovereignty and selective decoupling.
n/a theoretical Full text openalex
ARTIFICIAL INTELLIGENCE AND THE WEAPONIZATION OF ECONOMIC INTERDEPENDENCE: REDEFINING FOREIGN POLICY IN A MULTIPOLAR WORLD · Muhammad Irfan Magray (Corresponding Author), Dr. Nadia Shaheen, Asia Rahman Kha... · Apr 18, 2026
Investors price AI stocks at a premium because those equities hedge a hypothetical AI 'singularity' that could displace consumption; market incompleteness then inflates valuations and creates a case for government transfers when singularity-driven gains outweigh policy costs.
n/a theoretical Full text openalex
Hedging the Singularity · Andrew Y. Chen · Apr 18, 2026
Replicating two scholars' published reasoning produced scholar-bots that attained senior-lecturer–level evaluations across supervision, peer review and panel debate, suggesting that extractable publication records could enable low-cost functional replacement of some academic labor unless disclosure and compensation rules are adopted now.
low quasi_experimental Full text arxiv
The Relic Condition: When Published Scholarship Becomes Material for Its Own Replacement · Lin Deng, Chang-bo Liu · Apr 17, 2026
What passes for AI accountability often props up the industry: many critiques and reforms act as decoys that conceal the networks of power and extraction making AI possible; to secure real fairness we must reckon with the material political economy behind AI, not just its surface practices.
n/a commentary Full text arxiv
Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability · Janet Vertesi, danah boyd, Alex Taylor, Benjamin Shestakofsky · Apr 17, 2026
A safe deep reinforcement learning controller can halve simulated building heating costs while always honoring grid flexibility requests; the adaptive safety filter secures compliance but incurs a small rise in comfort breaches compared with unconstrained RL.
low descriptive Full text arxiv
Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility · Colin Jüni, Mina Montazeri, Yi Guo, Federica Bellizio, Giovanni Sansavini, Phili... · Apr 17, 2026
Digital-labor platforms can complete large batches of tasks while paying a vanishing fraction of total labor cost by exploiting workers' uncertainty; however, a small, targeted coalition of low-cost workers enforcing a price floor can force the platform to pay proportional (linear) total wages, while random organizing is largely ineffective.
medium theoretical Full text arxiv
Stochastic wage suppression on gig platforms and how to organize against it · Ana-Andreea Stoica, Celestine Mendler-Duenner, Moritz Hardt · Apr 17, 2026