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AI has already begun to lift productivity and reshape services and labor markets, but its benefits are uneven and come with governance, ethical and environmental costs. Realizing net societal gains will require human-centered system design, regulatory frameworks for safety and accountability, and incorporation of sustainability metrics into AI development.
n/a review_meta openalex
The Evolution and Societal Impact of Artificial Intelligence in the 21st Century · Monica Khadgi · Mar 13, 2026
China’s ability to win global digital services markets hinges on rules and platforms, not just code. Without deeper engagement in international rule‑making, interoperable data regimes and stronger platform internationalization, China risks falling behind economies operating under high‑standard trade frameworks.
low review_meta openalex
Analysis of Digital Services Trade and Export Competitiveness · J. Liu · Mar 13, 2026
Generative AI can sharply raise efficiency and accuracy in corporate finance and tax operations, cutting routine costs and freeing staff for higher‑value work; but realising these gains at scale hinges on addressing data privacy, model reliability, system integration and regulatory accountability.
low descriptive openalex
Explore the Impact of Generative AI on Finance and Taxation · Yifan Ma · Mar 13, 2026
A Levinasian ethics exposes persistent responsibility gaps in human–robot systems that law and engineering alone cannot close; regulators and firms must build institutions and procedures that respond to primordial obligations toward vulnerable users.
n/a theoretical openalex
Examining ethical challenges in human–robot interaction using a Levinasian framework · Bo Kampmann Walther · Mar 13, 2026
AI is rewriting the rules of cross‑border trade: data, models and platforms are shifting comparative advantage and creating new regulatory frictions, forcing a patchwork of regional experiments and calls for multilateral coordination to preserve trade efficiency and policy goals.
low descriptive openalex
Path Analysis of Digital Economy and Reconstruction of International Trade Rules Driven by Artificial Intelligence · Chen Chen, Yihan Dong, Mayuyue Fan, Baoqi Yu · Mar 13, 2026
Generative AI promises scalable, individualized feedback that could cut costs and boost learning at scale, but real benefits depend on reliable pedagogical alignment, careful evaluation, and governance; without quality controls and equitable access, AI feedback risks misleading students and widening educational inequalities.
n/a descriptive arxiv
The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable? · Jennifer Meyer, Olaf Köller, Thorben Jansen, Johanna Fleckenstein, Michael W. As... · Mar 12, 2026
The dominant agent protocol (MCP) powers tens of thousands of servers but misses three core primitives—identity propagation, adaptive timeout budgeting and structured error semantics—leaving production agent deployments fragile. Implementing the paper's CABP, ATBA and SERF proposals would cut incident and remediation costs, enable tighter SLAs and create room for vendors to differentiate on production readiness.
medium descriptive arxiv
Bridging Protocol and Production: Design Patterns for Deploying AI Agents with Model Context Protocol · Vasundra Srinivasan · Mar 12, 2026
AI coding agents can reimplement complex RL simulators cheaply and quickly: the authors produce verified JAX/Rust environments for under $10 of compute, delivering up to tens-of-thousands× throughput improvements in some cases and matching hand-optimized engines while preserving policy behaviour.
medium descriptive arxiv
Automatic Generation of High-Performance RL Environments · Seth Karten, Rahul Dev Appapogu, Chi Jin · Mar 12, 2026
A new mathematical solution collapses the infinite ‘beliefs‑about‑beliefs’ problem in decentralized continuous‑time games into deterministic two‑time kernels and yields a closed‑form 'information wedge' that quantifies when and how agents manipulate others’ signals; the wedge disappears when signals are exogenous, sharply delimiting when strategic information effects matter.
n/a theoretical arxiv
Forecasting and Manipulating the Forecasts of Others · Sam Babichenko · Mar 12, 2026
Simulations of small edge-AI populations show that smarter, diverse agents can make shared-resource congestion worse when capacity per device is low, while the same sophistication improves outcomes when capacity is ample; the capacity-to-population ratio C/N predicts which regime a deployment will fall into.
medium quasi_experimental arxiv
Increasing intelligence in AI agents can worsen collective outcomes · Neil F. Johnson · Mar 12, 2026
Clinical AI works in Indonesian hospitals but flounders outside them: promising diagnostic and telemedicine results are undermined by patchy broadband, fragmented regulation and limited workforce readiness, risking foreign vendor dependence and lost economic gains unless coordinated policy and investment follow.
medium review_meta semantic_scholar
Artificial Intelligence in Healthcare in Indonesia: Are We Ready to Race for Golden Indonesia 2045? · Wayan Sadwika · Fetched Mar 12, 2026
Open-source AI offers transparency, customization and privacy advantages while proprietary systems dominate on reliability and vendor support; policymakers should adopt a hybrid, tiered governance and certification regime to capture complementary benefits without entrenching inequities or market concentration.
n/a review_meta semantic_scholar
Framework for Government Policy on Agentic and Generative AI in Healthcare: Governance, Regulation, and Risk Management of Open-Source and Proprietary Models · Satyadhar Joshi · Fetched Mar 12, 2026
Synthetic patient data can lower barriers to building clinical AI in Africa, but only when paired with real local data and robust governance; without hybrid training, domain adaptation, and stronger validation infrastructure, fidelity gaps risk biased care and wasted investment.
medium review_meta semantic_scholar
On the use of synthetic data for healthcare AI in Africa: Technical performance, governance challenges, and policy readiness · Ally Nyamawe, D. Shao · Fetched Mar 12, 2026
An AI-powered Skill Gap Intelligence Hub can probabilistically forecast where and which skills will be in shortage, spotlighting regional opportunity hubs and quantifying how automation and policy choices reshape future workforce readiness; however, its usefulness hinges on data quality and transparent validation.
low descriptive semantic_scholar
AI-Based Predictive Skill Gap Analysis for Workforce Planning · Jacob Tom, J.Noor Ahamed · Fetched Mar 12, 2026
Indonesia promotes mobile-AI as an engine of growth while relying on soft‑law ethics and guidelines; that mismatch leaves low‑wage, rural and otherwise marginalised groups disproportionately exposed and undermines equitable economic outcomes.
low descriptive semantic_scholar
Promising Protection, Producing Exposure: AI Ethics and Mobile Communication Regulation in Indonesia · Rustini Floranita, Diamitra Darius, Irwansyah Irwansyah · Fetched Mar 12, 2026
Generative web-search and reasoning models deployed in 2025 impose substantially higher cumulative environmental costs even as reporting declines; existing rules—focused on facilities and training—miss model-level and inference emissions. The paper recommends mandatory model-level energy disclosures, consumer opt-outs, and coordinated international reforms, with concrete amendments proposed for EU laws to operationalize these changes.
medium review_meta semantic_scholar
The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI · Kai Ebert, Boris Gamazaychikov, Philipp Hacker, Sasha Luccioni · Fetched Mar 12, 2026
AI is already boosting productivity across multiple sectors but also amplifies bias, privacy and distributional risks; tailored, ethics‑based governance—from standards and sandboxes to workforce training and competition policy—is required to preserve innovation while protecting fairness and accountability.
low descriptive semantic_scholar
AI Governance and Data Privacy: Comparative Analysis of U.S., EU and African Frameworks · Oyeyemi Akinrele · Fetched Mar 12, 2026
The Pentagon's new AI memo speeds procurement by turning oversight into an exception: expanded waiver powers and vague standards, combined with a shrinking acquisition workforce, raise the odds of unsafe or unvetted AI deployments and shift legal and operational risk onto the government.
low commentary semantic_scholar
FEATURE COMMENT: Governance as a "Blocker": How the Pentagon's New AI Strategy Trades Oversight for Speed · Jessica Tillipman · Fetched Mar 12, 2026
U.S. AI policy is fragmented and in flux: export controls coexist with a permissive domestic stance while worker-protection initiatives falter, increasing legal uncertainty that will shape where and how firms adopt AI and likely strengthen employer bargaining power.
n/a commentary semantic_scholar
AI governance under the second Trump administration: implications for labour · Catriona Gray · Fetched Mar 12, 2026
Common AI tools in research workflows are shrinking researcher control and raising ethical costs, particularly in lower‑capacity jurisdictions; policymakers should prioritize data‑sovereignty, procurement rules and public research infrastructure to rebalance power and lower hidden transaction costs.
low descriptive semantic_scholar
Emerging ethical duties in AI-mediated research: A case of data sovereignty in applying cross-national regulation. · Ricardo A. Ayala, P. Hervé-Fernández · Fetched Mar 12, 2026
Russia’s extractive industries trail the US, China and EU in AI investment and digitalization; the shortfall is structural — fragmented data access, talent shortages, weak infrastructure and institutional failures, not just low spending, are blocking scaling and call for coordinated institutional reforms.
medium descriptive semantic_scholar
ADOPTION OF ARTIFICIAL INTELLIGENCE IN THE RUSSIAN EXTRACTIVE INDUSTRY: ANALYSIS OF BARRIERS AND INSTITUTIONAL CONSTRAINTS · Danil S. Krasovskikh, Diana Yu. Boboshko · Fetched Mar 12, 2026
On-premise RAG is a viable alternative for SMEs: it matches cloud RAG on accuracy, delivers more contextually useful answers in specialized manufacturing, and converts recurring API fees into fixed costs—but requires upfront capex, technical staff, and accepts higher latency.
medium descriptive semantic_scholar
An Empirical Study on the Feasibility Analysis of On-Premise RAG for AI Diffusion in Manufacturing · Jaeseok You, Ahreum Hong · Fetched Mar 12, 2026
Big Data and AI can make governments proactive rather than reactive, improving resource allocation where institutions, infrastructure and trust exist. But adoption is uneven: realizing economic and social returns depends on interoperable, ethical‑by‑design platforms, sustained investment in skills and governance, and stronger accountability mechanisms.
medium review_meta semantic_scholar
Models, applications, and limitations of the responsible adoption of big data and artificial intelligence in public policy · José David Vallejo Manzur, E. L. Álvarez-Aros · Fetched Mar 12, 2026
AI can materially raise productivity and enable new services for SMEs in developing economies, but adoption in places like Botswana is held back by skills shortages, poor infrastructure, financing gaps and weak data governance. Policymakers should pair phased, firm-level capability building with ecosystem financing and pragmatic data rules to make benefits broad and inclusive.
low review_meta semantic_scholar
Artificial Intelligence Adoption for Sustainable Development in SMEs: Challenges, Strategic Pathways, and Lessons for Developing Economies · J. Holland · Fetched Mar 12, 2026
AI systems reliably perform narrow clinical tasks and speed routine workflows, but physicians remain indispensable: near-term automation will reallocate tasks rather than replace clinicians, with regulatory, robustness, and liability hurdles slowing widespread substitution.
medium review_meta semantic_scholar
Will AI Replace Physicians in the Near Future? AI Adoption Barriers in Medicine · R. Obuchowicz, Adam Piórkowski, Karolina Nurzyńska, B. Obuchowicz, Michał Strzel... · Fetched Mar 12, 2026