The Commonplace
Home Dashboard Papers Evidence Syntheses Digests 🎲

Papers (1134)

Filter: Sort:
Large language models can stand in for human subjects in low-stakes pilots and robustness checks, but their behavioral fidelity is inconsistent and error-prone; researchers should treat synthetic participants as heuristic supplements—not substitutes—and adopt standardized evaluation and ethical safeguards.
medium review_meta openalex
Synthetic Participants Generated by Large Language Models: A Systematic Literature Review · Eduard Kuric, Peter Demcak, Matus Krajcovic · Mar 10, 2026
AI tools are rapidly pushing biomedicine toward faster, cheaper discovery: ensemble and deep‑learning models deliver parsimonious diagnostics, cross‑study cross‑omics prediction, and prognostic signatures that can cut reliance on animal models and shorten R&D timelines. If these models survive larger prospective validation and regulatory review, economic value will concentrate in curated data assets, validated models, and supporting validation/compliance services, reshaping firm incentives, skills demand, and infrastructure investment.
medium review_meta openalex
Editorial: Integrating machine learning and AI in biological research: unraveling complexities and driving advancements · Bindu Nanduri, Inimary Toby-Ogundeji · Mar 10, 2026
AI upskilling helps keep stressed pharmaceutical workers on the job but doesn't immediately boost their performance; firms that deploy AI-guided training report smaller stress-related turnover even though stress still undermines output.
low correlational openalex
AI-driven stress management and performance optimization: A framework for employee retention in the IR 5.0 era · Devaraju, Amit Subramanyam · Mar 10, 2026
Short, introductory AI courses for clinicians improve confidence, attitudes and basic skills but leave clinical workflows and patient outcomes unchanged; most programs are brief, academic, and aimed at students or early‑career clinicians, limiting their likely productivity payoff.
medium review_meta openalex
Assessing the effectiveness of artificial intelligence education and training for healthcare workers: a systematic review · Leanna Woods, Kayley Lyons, Anton van der Vegt, Quita Olsen, Wenyao Huang, Johns... · Mar 10, 2026
Perceived consumer value drives value-based pricing, but academic research finds no mature digital model to convert that value into algorithmic prices. Studies document growing AI adoption in pricing yet reveal fragmented evidence, methodological limits and unaddressed ethical and governance risks.
n/a review_meta openalex
Pricing Strategy in Digital Marketing: A Systematic Review of the Value-Based Approach · Octaviani Putri Dita Arumsari, Vidya Damayanti, Rizki Amalia Utami, Titis Shinta... · Mar 10, 2026
Recommender-system methods could make social robots far more consistently personalised and ethically constrained, promising higher user welfare and new monetisation paths; however, the claim is a design proposal that still needs real-world trials to quantify welfare, labor, and market effects.
n/a theoretical openalex
Reimagining Social Robots as Recommender Systems: Foundations, Framework, and Applications · Jin Huang, Fethiye Irmak Doğan, Hatice Güneş · Mar 10, 2026
AI-driven personalization combined with credible sustainability messaging can boost tourist demand by strengthening digital trust and destination image. The paper offers ten testable propositions and an empirical agenda—SEM, experiments, and platform-data analyses—to quantify how algorithmic design and sustainability narratives reshape visitation and market outcomes.
n/a theoretical openalex
Sustainable Marketing Framework for Strengthening Consumer Trust and Visit Intention in Kebumen Tourism · Heri Nurranto, Usep Suhud, Setyo Ferry Wibowo · Mar 10, 2026
FinTech and alternative finance are widening access to capital for Indian MSMEs and startups by offering faster, more flexible, data‑driven credit, but bring privacy, regulatory and concentration risks that require hybrid bank–FinTech solutions and stronger governance.
medium descriptive openalex
Traditional vs. contemporary financing models for MSMEs and startups: A comparative study · J. Madegowda · Mar 10, 2026
A three‑layer security architecture for virtual reality—combining hardware integrity, privacy‑preserving data practices and socio‑behavioral protections—could become a competitive differentiator that raises entry costs and shifts the value of behavioral data toward privacy‑focused services. Without standards or regulation, platforms face weak incentives to invest, so certification and interoperable rules will determine whether safety is a market advantage or a costly compliance burden.
n/a review_meta openalex
Securing Virtual Reality: Threat Models, Vulnerabilities, and Defense Strategies · Andrija Bernik, Igor Tomičić, Petra Grd · Mar 10, 2026
Student access to AI is undermining traditional standardized tests, turning assessment into a policy problem that mixes education and economics. Nations should pivot to formative and performance‑based evaluations and impose data, training and audit standards to prevent widening inequality and commercial capture of student data.
low descriptive openalex
The Future of Assessment: Rethinking Evaluation in an AI-Assisted Learning Environment · Minghui Gu · Mar 10, 2026
Allowing ChatGPT on knowledge-based coursework improves short-term student performance in several classes, with more interactive use linked to modestly higher scores; students value speed and organization but warn of inaccuracies and overreliance, prompting calls for explicit AI-literacy instruction.
medium rct openalex
Expanding the lens: multi-institutional evidence on student use of ChatGPT in higher education · Miguel Á. Conde, Rocío García-Pascual, Francisco J. Rodríguez-Sedano, Jesús-Ánge... · Mar 10, 2026
Industrial robots raised manufacturing productivity across many advanced economies in the 1990s–2000s while not producing large net job losses at the industry level. The evidence suggests robot adoption boosted value added per worker rather than wholesale employment displacement in manufacturing.
medium quasi_experimental openalex
Social Protection and Youth · M. Caridad Araujo, Sarah Baird, Saini Das, Berk Özler, Luca Parisotto, Tassew Wo... · Mar 10, 2026
AI's economic power comes from making prediction cheap, not from replacing judgment; as prediction costs fall, firms reorganize tasks and decision-making—boosting productivity where human judgment complements prediction, while putting prediction-heavy tasks at risk.
n/a theoretical openalex
Pensions in Low- and Middle-Income Countries · Nicholas Barr, Mariano Bosch · Mar 10, 2026
Industrial robots suppressed employment and wages in exposed U.S. localities: regions with higher industry-level robot adoption experienced measurable declines in manufacturing employment and average wages, disproportionately hitting workers in more robot-exposed occupations.
medium quasi_experimental openalex
The Rise of Social Safety Nets and Social Insurance in the West: Implications for Developing Countries · Anna Aizer, Price Fishback, Adriana Lleras-Muney, Tauhidur Rahman · Mar 10, 2026
Gender fundamentally alters who benefits from social protection in low- and middle-income countries, so policy tools — including AI systems used for targeting, monitoring and evaluation — must be designed with gender-disaggregated data, causal methods for subgroup effects, and governance safeguards to prevent reinforcing existing inequalities.
medium review_meta openalex
Social Protection and Gender: Policy, Practice, and Research · Melissa Hidrobo, Amber Peterman, Neha Kumar, Monica Lambon-Quayefio, Shalini Roy... · Mar 10, 2026
A new 'Symbolic-Cognitive Friction' metric aims to quantify the cultural and cognitive costs that leave AI projects stranded as perpetual pilots in SMEs; the author provides a proposed 30-item scale, an index and a mixed-methods validation plan together with practical checklists to diagnose and reduce those barriers.
n/a theoretical openalex
A FRICÇÃO PSICOANTROPOLÓGICA (SCF - Symbolic-Cognitive Friction) NA INOVAÇÃO DAS PMES: MENSURANDO O CUSTO CULTURAL E A RESISTÊNCIA COGNITIVA À INTELIGÊNCIA ARTIFICIAL E À GERAÇÃO DE VALOR SOCIOECONÔMICO · Silas Serpa · Mar 10, 2026
Generative search engines give inconsistent and heavy‑tailed citation visibility: identical queries return varying domains and citation counts follow a power law, so single‑run snapshots overstate precision; repeated sampling and confidence intervals reveal much apparent concentration is sampling noise.
medium descriptive arxiv
Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement · Ronald Sielinski · Mar 09, 2026
Uncertain leak risks deter consumers from AI personalization: when data-leak probabilities are presented as a range, adoption falls markedly, but a stated 30% risk does not reduce uptake; users willingly overpay for privacy-disclosure labels, signaling high demand for transparent risk information.
high rct arxiv
The Data-Dollars Tradeoff: Privacy Harms vs. Economic Risk in Personalized AI Adoption · Alexander Erlei, Tahir Abbas, Kilian Bizer, Ujwal Gadiraju · Mar 09, 2026
A 23-day Moltbook experiment with 47,241 autonomous agents produced introspective, ritualized, low-coherence discourse—56% of comments were classified as formulaic and emotional alignment was only 32.7%—a pattern that could degrade information quality and complicate market regulation.
medium descriptive arxiv
What Do AI Agents Talk About? Emergent Communication Structure in the First AI-Only Social Network · Taksch Dube, Jianfeng Zhu, NHatHai Phan, Ruoming Jin · Mar 09, 2026
Casual chat with conversational AI can lower the mental hurdle to begin work by helping users vent, organize thoughts and surface next steps, implying AI provides value as an action‑initiation interface separate from task execution.
low theoretical openalex
A Model of Action Initiation Barrier Reduction through AI Conversation · Akihito Sugawara · Mar 09, 2026
Chinese listed firms that adopt AI pay their executives more, driven by productivity gains and easier financing; stronger corporate governance materially curbs this pay uplift.
medium quasi_experimental openalex
The Impact of Artificial Intelligence on Executive Compensation in Listed Companies · Jianan Shen · Mar 09, 2026
Cold War-era economics sometimes concluded markets and democracy were defective; archival evidence suggests such theories were amplified through elite institutions and funding, operating as a 'Trojan horse' that advanced alternative political narratives and shaped policy discourse.
medium descriptive openalex
Ideological competition during the era of the 20th century cold war: The political economy of persuasion with a Trojan horse · Arye L. Hillman · Mar 09, 2026
Redesigning mandatory pre‑departure training in South–South corridors can cut brokerage rents and raise migrants' employability by delivering earlier, decentralized, and TVET‑aligned learning with portable credentials. Generative AI can serve as low‑cost, multilingual learning support, but must be limited to auditable, assistive roles to avoid becoming a hidden gatekeeper.
low descriptive openalex
Training as corridor governance: TVET alignment, skills recognition, and status continuity in the Myanmar–Malaysia labour migration system · Tse Hou Hew, Nina Xie · Mar 09, 2026
Current manufacturing simulations are often tactical and decontextualized; a proposed 'manufacturing operation tree' embeds operations in organizational structure and pushes for validated, AI‑enabled, policy‑aware simulation models to improve agility, resilience and decision making.
n/a theoretical openalex
A Review of Manufacturing Operations Research Integration in Closed-Loop Supply Chains · Wan Hasrulnizzam Wan Mahmood, Mohd Yuhazri Yaakob, Mohd Guzairy Abd Ghani, Fadhl... · Mar 09, 2026
Generative AI can make clinicians faster and improve diagnostic suggestions, but real-world benefits are uncertain: hallucinations, bias, liability gaps and perverse incentives could offset gains unless deployment, payment and regulation are carefully designed.
low review_meta openalex
GenAI and clinical decision making in general practice · Luke Allen · Mar 09, 2026