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When paired with mechanistic priors, synthesis‑aware design, robust external validation and regulatory alignment, AI can cut drug development time and raise early‑phase success rates; absent proper validation, dataset bias and misalignment with regulators can negate gains and create costly setbacks.
medium review_meta Full text openalex
Artificial Intelligence in Drug Discovery and Development: Raising Quality per Decision · Shota Furukawa, Hiroyuki Uchida, Gabriela Novak · Mar 05, 2026
An augmented-reality system driven by a multimodal LLM cuts CMM task time and perceived workload while preserving measurement accuracy, enabling less-expert operators to complete precision measurement tasks faster; the result suggests productivity and training-cost gains in precision manufacturing, but evidence is limited to a single-machine case study and modest sample.
low descriptive Summary openalex
Augmented Reality-Based Training System Using Multimodal Language Model for Context-Aware Guidance and Activity Recognition in Complex Machine Operations · Waseem Ahmed, Qingjin Peng · Mar 05, 2026
Mapping consulting tasks to generative-AI strengths can boost consultant efficiency, but only with strong verification and governance; otherwise hallucinations and gradual loss of routine skills threaten quality and long‑term capabilities.
low descriptive Full text openalex
Where Automation Meets Augmentation: Balancing the Double-Edged Role of Generative AI in Management Consulting · Matthias Tuczek, Kenan Degirmenci, Michael H. Breitner, Kevin C. Desouza, Richar... · Mar 05, 2026
A modular agent architecture (CRAEA) significantly boosts simulated home-robot planning, memory-based question answering and routing, making long-horizon natural-language household tasks more reliable; gains are shown in simulation and human ratings but real-world robustness and deployment costs remain untested.
medium descriptive Summary openalex
Context-Rich Adaptive Embodied Agents: Enhancing LLM-Powered Task Planning and Memory in Home Robotics · Yutian Gai, Haoyu Cen · Mar 05, 2026
Trust and apparent accuracy determine whether AI helps finance teams: where both are high, firms make faster, more data-driven strategic pivots and improve risk management; but misplaced trust, cognitive biases and low AI literacy can create systemic risks and blunt productivity gains.
medium correlational Full text openalex
Human-AI Synergy in Financial Decision-Making: Exploring Trust, Precision, and Organizational Agility · Dr. Salman Arafath Mohammed · Mar 05, 2026
AI promises sectoral productivity gains across Africa but risks entrenching foreign control and social harm if data ownership, linguistic and cultural constraints, and local capacity are ignored; a governance framework grounded in Afro‑communitarianism and stakeholder participation is proposed to steer AI toward inclusive, locally rooted development.
n/a theoretical Summary openalex
Towards Responsible Artificial Intelligence Adoption: Emerging and Existing Ethical Issues in Africa · Dolapo Faith Sule · Mar 05, 2026
Clinical uptake of EEG AI hinges on explainability as much as accuracy; current XAI techniques are frequently fragile, inconsistent, and poorly aligned with neurophysiology, creating regulatory and adoption headwinds for commercialization.
n/a review_meta Summary openalex
Explainable Artificial Intelligence (XAI) for EEG Analysis: A Survey on Recent Trends and Advancements · Vassilis Lyberatos, Georgios Kontos, Nikolaos Spanos, Orfeas Menis Mastromichala... · Mar 05, 2026
A publicly available library of 2,193 high-resolution 3D ant scans links morphology to genomes and slashes data-acquisition barriers for biological AI; the open resource shifts value toward model development, compute, and services while enabling new biodiversity and trait-analytics markets.
n/a descriptive Full text openalex
High-throughput phenomics of global ant biodiversity · Julian Katzke, F. Javier García, Jacob J. Relle, Fumika Azuma, Tomáš Faragó, La... · Mar 05, 2026
Large language models can act as 'brains' for modern microscopes, automating protocol design, instrument control and data analysis to speed experiments and raise the value of software and data; yet their deployment creates reproducibility, safety and concentration risks that demand standards, benchmarks and public interventions.
n/a review_meta Summary openalex
ChatMicroscopy: A Perspective Review of Large Language Models for Next-Generation Optical Microscopy · Giuseppe Sancataldo · Mar 05, 2026
Treating EdTech firms as recipients of federal education funding would make vendors directly liable for discriminatory AI tools, forcing firms to internalize nondiscrimination obligations. The shift would reshape procurement, raise compliance costs, and alter market incentives for innovation and entry in the EdTech sector.
n/a commentary Summary openalex
Civil Rights and the EdTech Revolution · Kirsten Mettler · Mar 05, 2026
Treating AI systems like patients could create a market for diagnostics, certification and remediation: 'Model Medicine' lays out taxonomies, imaging tools and reporting standards (Neural MRI, M-CARE) that would let purchasers, insurers and regulators assess model ‘health’ — but empirical support so far comes mainly from a single experimental corpus (Agora-12) and four case studies.
low theoretical Full text openalex
Model Medicine: A Clinical Framework for Understanding, Diagnosing, and Treating AI Models · Jihoon Jeong · Mar 05, 2026
A model-agnostic pipeline using LLM-driven semantic normalization and density-based clustering uncovers coherent research themes in ML and NLP conference abstracts. The method scales to large corpora and generates interpretable topic maps that can be used to track research frontiers and build indicators for economic analysis, though results require robustness checks across models and prompts.
n/a descriptive Summary openalex
Soft-Prompted Semantic Normalization for Unsupervised Analysis of the Scientific Literature · Ivan Malashin, Dmitry Martysyuk, Vadim Tynchenko, Andrei Gantimurov, V. A. Nelyu... · Mar 05, 2026
AI-guided microbial ‘factories’ are shortening design cycles and promising cheaper, greener routes to complex chemicals, but most successes are confined to the lab or pilot scale and persistent scale-up and regulatory hurdles will shape who benefits and how fast.
n/a review_meta Full text openalex
Harnessing Microbial Factories: Biotechnology at the Edge of Synthetic Chemistry · Dr. S. Mohamed Rabeek · Mar 05, 2026
Digital finance widens access and slashes transaction costs, but risks amplifying inequality and systemic fragility; without data governance, competition safeguards and algorithmic oversight, platformization can lock in exclusion as well as convenience.
n/a review_meta Full text openalex
Financial Inclusion in the Age of FinTech Platforms: Opportunities, Inequalities, and Regulatory Dilemmas · Kumaraswamy M, D. Swapna Devi · Mar 05, 2026
A ten-minute onboarding session substantially raised voluntary use of an LLM and produced measurable performance gains on a law-school exam: training increased usage from 26% to 41% and improved scores by 0.27 grade points, whereas untrained access delivered no score benefit.
medium rct Full text openalex
Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis · Benjamin Minhao Chen, Hong Bao · Mar 05, 2026
AI-enhanced robotics patenting took off after 2010, marking a structural shift in innovation dynamics; China shows the tightest integration between AI and robotics with substantial university/public-sector patenting, while the U.S. remains more market-driven and less integrated.
medium descriptive Full text openalex
The "Gold Rush" in AI and Robotics Patenting Activity. Do innovation systems have a role? · Giovanni Guidetti, Riccardo Leoncini, Mariele Macaluso · Mar 05, 2026
Generative AI equalizes individual task performance but shifts economic value to owners of complementary assets; unless AI is broadly accessible or labor institutions share rents, firms capture gains and inequality can rise.
low theoretical Full text openalex
When AI Levels the Playing Field: Skill Homogenization, Asset Concentration, and Two Regimes of Inequality · Xupeng Chen, Shuchen Meng · Mar 05, 2026
Charging levies on AI 'tokens'—a usage tax applied at the point of inference—could give governments a practical way to tax AI-generated value and blunt automation-driven revenue and wage shocks; the approach hinges on robust cryptographic receipts, norm-based rates, white-box audits, and difficult international cooperation.
n/a commentary Full text openalex
Token Taxes: mitigating AGI's economic risks · Lucas Irwin, Tung-Yu Wu, Fazl Barez · Mar 04, 2026
Countries with stronger AI readiness record notably better progress on the Sustainable Development Goals, and FinTech and Blockchain activity also predict higher SDG performance; when nations develop multiple digital technologies together, the combined sustainability gains exceed the sum of individual effects.
low correlational Summary openalex
Digital Technologies and Sustainable Development: Evidence from FinTech, AI, and Blockchain Adoption in G20 Economies · Nesrine Gafsi, Amina Hamdouni, Aida Smaoui · Mar 04, 2026
Consumer complaints forecast short-term stock drops at U.S. financial firms: rising complaint volumes and more negative narrative sentiment are linked to near-term abnormal return declines, and topic-level complaint trends add predictive power for investors and risk managers.
medium correlational Summary openalex
More than words: valuation of words for stock price by using the combination of natural language processing, time-series panel and gradient boosting · Wookjae Heo, Yeonseo Jo, Keewon Moon · Mar 04, 2026
China’s cultural-zone program created jobs by spawning platform-mediated gigs, not new firms; however, fiscal spending only translated into employment where digital infrastructure was sufficiently developed, otherwise it failed or backfired.
medium quasi_experimental Summary openalex
Redefining Policy Effectiveness in the Digital Era: From Corporate Scaling to Inclusive Employment Growth—Evidence from China’s National Cultural Demonstration Zones · Yuanming Wang, Mu Li, Y. Chen, Yuting Xue · Mar 03, 2026
Directing AI toward labor-augmenting technologies can raise wages and social welfare when redistribution is limited, but as AI progressively devalues labor the returns to steering fall and policy should shift toward redistribution and improving non-monetary aspects of work.
n/a theoretical Full text manual
Steering Technological Progress · Anton Korinek, Joseph E. Stiglitz · Mar 01, 2026
Human-authored procedural 'Skills' lift LLM agent success by 16.2 percentage points on average—gains vary sharply by domain and sometimes harm performance—while model-generated Skills add no net value; narrowly targeted Skills let smaller models match larger ones, suggesting firms can substitute curated knowledge for compute.
medium quasi_experimental Full text manual
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks · Xiangyi Li, Wenbo Chen, Yimin Liu, Shenghan Zheng, Xiaokun Chen, Yifeng He, Yubo... · Feb 13, 2026
AI automates contiguous blocks of workflow steps, forcing firms to redefine tasks and jobs and producing nonlinear organizational shifts as AI quality improves. Occupations where AI-suitable steps are dispersed see far less automation, while a step is more likely to be AI-executed when its neighbors are also automated.
medium theoretical Full text manual
Chaining Tasks, Redefining Work: A Theory of AI Automation · Mert Demirer, John J. Horton, Nicole Immorlica, Brendan Lucier, Peyman Shahidi · Feb 01, 2026