All Episodes

Generative Artificial Intelligence (GenAI) in the research process – A survey of researchers’ practices and perceptions — Andersen et al. (2025)

When Agents Fail to Act: A Diagnostic Framework for Tool Invocation Reliability in Multi-Agent LLM Systems — Huang et al. (2026)

Getting in Contract with Large Language Models—An Agency Theory Perspective on Large Language Model Alignment — Kaltenpoth & Müller (2026)

Adopting Large Language Models to Automated System Integration — Pesl (2025)

The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges — Bandi et al. (2025)

Siyasat: AI-Powered AI Governance Tool to Generate and Improve AI Policies According to Saudi AI Ethics Principles — Alboaneen et al. (2025)

The implementation of artificial intelligence in organizations by functional areas: A review and conceptual model — Aguado-García et al. (2026)

Artificial Intelligence: Objective or Tool in the 21st-Century Higher Education Strategy and Leadership? — Bollaert (2025)

AI-Enabled Customised Workflows for Smarter Supply Chain Optimisation: A Feasibility Study — Javidroozi et al. (2025)

A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV — Peñarroya-Farell et al. (2025)

Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges — Sánchez et al. (2025)

A critical juncture: Integrating large language models in biostatistical workflows — Sahu (2026)

ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace — Söllner et al. (2025)

Approach or Avoidance: How Does Employees’ Generative AI Awareness Shape Their Job Crafting Behavior? A Sensemaking Perspective — Yan et al. (2025)

A Paradox of Fit: How Job Complexity Shapes AI Self-Efficacy and AI Adoption Through a Curvilinear Mechanism — Akben & Dong (2025)

Examining News Innovation Narratives, Practices and Institutional Logics: A Study on GenAI Adoption in Egyptian Newsrooms — Arafat & Cooper (2025)

AI Integration in the IT Professional Workplace: A Scoping Review and Interview Study with Implications for Education and Professional Competencies — Clear et al. (2025)

Divisional perspectives on trust in generative AI: an empirical study of senior decision-makers — Khac et al. (2025)

Balancing Automation and Accuracy: A Comparative Analysis of AI Integration in News Production — Ebrahimi (2026)

Infusion of generative artificial intelligence: boosting organizational agility and effectiveness — Koh & Yuen (2026)

Exploring artificial intelligence adoption in public organizations: a comparative case study — Neumann et al. (2022)

One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI — Møller et al. (2026)

Factors Affecting the Adoption of Generative AI Tools Among Information Technology Employees: A UTAUT3, TTF, and SOR Perspective — Prasad et al. (2026)

The Proof Is in the Eating: Lessons Learnt from One Year of Generative AI Adoption in a Science-for-Policy Organisation — De Longueville et al. (2025)

Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering — Lu et al. (2024)

The European code of conduct for research integrity — ALLEA (2023)

Living guidelines on the responsible use of generative AI in research — Commission (2026)

Task-State Governance: A Virtual Machine for Verifiable and Recoverable GUI Agent Execution — Yang et al. (2026)

Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills — Laskar et al. (2026)

Safe, Persistent, and Evolving Agent Harness for Understanding Partially Observable Worlds — Gao et al. (2026)

Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows — García-Carrasco et al. (2026)

Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development — Koch (2026)

Living guidelines on the responsible use of generative AI in research — European Commission (2026)

Symbolic Separation: Grounding Deep Agents in Knowledge Graphs for Trustworthy Operational Data Analytics — Davletiyarov et al. (2026)

Intelligent Agents For Enterprise Knowledge Management-Construction And Application Based On Large Language Models — Tian et al. (2026)

From AI Adoption to AI Transformation: The AX-5R Framework for Socio-Technical Work System Redesign — Shin et al. (2026)

A Policy-Aligned Agentic RAG Framework for Risk-Aware Decision Support in Enterprise Customer Relationship Management — Ganesan (2026)

Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows — Tomitsuka et al. (2026)

Responsible artificial intelligence governance: A review and research framework — Papagiannidis et al. (2025)

Positioning public sector practitioners as ‘moral crumple zones’: Mechanisms in the early use of generative AI work support tools — Choroszewicz (2026)

Homo agenticus in the age of agentic AI: Agency loops, power displacement, and the circulation of responsibility — Leonardi (2025)

From Backlog Items to Security Guidance: Towards Continuous Security Compliance — Núñez et al. (2026)

CredWise: A Controlled Agentic Decision-Intelligence Framework for Explainable and Auditable Credit-Risk Assessment — Tiwari (2026)

Agentic information systems — Holldack et al. (2026)

Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey — Acharya et al. (2025)

Evaluation of Generative Artificial Intelligence Implementation Impacts in Social and Health Care Language Translation: Mixed Methods Case Study — Martikainen et al. (2025)

To hasten slowly: The prudence of slow AI implementation in public relations — Christensen & Andersson (2025)

Causal mapping of the risks of using generative AI in software development — Hein et al. (2026)

Knowledge-as-Skill: A Structural Design for Autonomous Knowledge-Base Use by LLM Agents — Wu (2026)

The Work Behind Delegation: A Framework for Supervising AI Coding Agents — Park et al. (2026)

FlowCheck: Helping End-Users Specify and Verify Intent in Vibe-Coded Web Apps — Vir et al. (2026)

CHORUS: Designing Human-AI Multi-Agent Collaboration for Professional Translators — (2026)

Insecure by design? A human-centric security perspective on AI-assisted software development — Glas et al. (2026)

GenAI and employee innovativeness: How employees' sensing capabilities and the capabilities to use and evaluate GenAI shape their innovative work behavior — Held & Heubeck (2025)

Exploring Large Language Models in external audits: Implications and ethical considerations — Fotoh & Mugwira (2025)

AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges — Sapkota et al. (2026)

PEARL: An Adaptive and Explainable Hardware Trojan Detection Using Open Source and Enterprise Large Language Models — Kundu et al. (2025)

Unveiling the Generative AI boom: what hype metrics reveal for digital business and E-commerce — Mora-López et al. (2026)

Leveraging RAG and LLMs for Access Control Policy Extraction From User Stories in Agile Software Development — Aboukadri et al. (2025)

Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda — Zuiderwijk et al. (2021)

Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoption — Kumar et al. (2025)

Enhancing corporate innovation through generative AI: A case study on Human–AI collaboration — Pena et al. (2026)

Digital Responsibility: A Multilevel Framework for Responsible Digitalization — Trier et al. (2023)

Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction — Abu-Faty et al. (2025)

Uses of generative AI by non-clinician staff at an academic medical center — Black et al. (2026)

The Evolution of AI in Business: A Topic Model Analysis of Research Trends — Bohr (2025)

The efficiency-verification trade-off in large language model-assisted workplace risk assessment; [Tõhususe ja usaldusväärsuse tasakaal LLM-toega töökoha riskihindamisel] — Bosler et al. (2026)

Agentic AI Framework for Autonomous Workforce Analytics and Decision Support in Enterprise HRIS Systems — Balerao (2026)

Addressing trust requirements in the design of an open-source multi-agent LLM-based domain-specific chatbot — Axetorn et al. (2026)

WhatsCode: Large-Scale GenAI Deployment for Developer Efficiency at WhatsApp — Mao et al. (2026)

The Verified Query Repository: A Human-in-the-Loop Architectural Pattern for Eliminating Hallucination in Enterprise NLP Systems — Sureshbabu (2026)

Probabilistic Requirement Modeling For Enterprise AI Workflow Orchestration: An Outcome-Centric Framework For Non-Deterministic Systems — Narasimhan (2026)

Governed Software Evolution: Embedded Engineering Agents and the Curation of User-Originated Variability in Enterprise Applications — Vijayan (2026)

Governed Agentic Process Automation: A Floor-Safety Guarantee for Compliance-Critical LLM Routing — Pacella et al. (2026)

Generative AI for trustworthy systems - Towards a health check model — Bosch et al. (2026)

A Generative AI-Based Framework for Business Process Orchestration in Industrial Enterprises — Ilieva & Iliev (2026)

Generative AI as a conditional job resource under job demands in academic knowledge work: directed content analysis using the job demands–resources framework — Çögenli (2026)

From Models to Metrics: A Governance Framework for Large Language Models in Enterprise AI and Analytics — Desai & Desai (2026)

Expanding Innovation in Agriculture: Case Study on Adoptable Technologies Using GenAI Based on Traditional Knowledge Management — Contreras-Medina et al. (2025)

AI-Assisted Value Investing: A Human-in-the-Loop Framework for Prompt-Guided Financial Analysis and Decision Support — Caridi et al. (2026)

Toward clinical integration of generative AI in mental health: personalization, multimodality and inter-entity experience — Frisone et al. (2026)

Smart Routing for Sustainable Supply Chain Networks: An AI and Knowledge Graph Driven Approach — Felder et al. (2025)

QuackIR: Retrieval in DuckDB and Other Relational Database Management Systems — Ge et al. (2025)

Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking — Freire et al. (2024)

Knowledge Management in Manufacturing: Current Practices, Barriers, and Automation Potential for LLM-Supported Systems † — Finkel & Wurster (2026)

HCEA: A Multi-Agent Framework for Sustainable Human-Centered Entrepreneurship Based on a Large Language Model — Gao et al. (2026)

GenAI, Leadership, and Entrepreneurial Orientation: The Mediating Role of Knowledge Management Capability — Eraliyeva et al. (2026)

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models — Elangovan et al. (2024)

Drivers and Barriers to AI Adoption in Retail Enterprises: A Systematic Literature Review and Conceptual Framework — Cui & Bulis (2025)

Trust, validation, and accountability: Implementing uses of generative artificial intelligence into Health Technology Assessment practice — Fleurence & Chhatwal (2026)

Personalism in Generative AI Deployment: Deciding Ethically When Human Creative Expression is at Stake — Fioravante & Vaccaro (2025)

Expert perspectives on the requirements for implementing prehospital peripheral nerve blocks: a survey among members of the European Society of Regional Anaesthesia (ESRA) — Gaik et al. (2026)

Governance of Generative Artificial Intelligence: A Contemporary and Institutional Perspective — Hasan (2025)

Fostering Organizational Collective Intelligence From Human-Generative AI Interaction — Hino et al. (2026)

An Approach to Automated Instruction Generation with Grounding Using LLMs and RAG — Holvoet et al. (2025)

Permission-Aware RAG: Identity and Access Management (IAM)-Based Access Filtering in Multi-Resource Environments — Jeong & Lee (2025)

Ethical challenges of generative artificial intelligence in global social communications: International standards and practices; [Етичні виклики генеративного штучного інтелекту в глобальних соціальних комунікаціях: міжнародні стандарти та практики] — Ketners & Petersone (2026)

DKC-LLM: Dynamic Knowledge Caching for Large Language Models in Business Applications — Khaliq & Adebayo (2026)

The Intellectual Structure and Thematic Evolution of Trust in AI Research: A BERTopic Analysis — Kim et al. (2026)

Construction of Knowledge Graph for Enterprise Mergers and Acquisitions: Cross-Domain Value Mining Method of Large Language Model (LLM) and Graph Neural Network — Li (2025)