science
Hosted by Per André Rønsen · science · EN
Discover how organizations adopt AI, reshape work, and govern its use. Research abstracts and key conclusions, in the authors' own words, read verbatim (by AI).
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36%
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Selective
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Signup to Generate a PitchDiscover how organizations adopt AI, reshape work, and govern its use. Research abstracts and key conclusions, in the authors' own words, read verbatim (by AI).
1 More Paper (Brief) is hosted by Per André Rønsen. The show has published 232 episodes to date.
Recent episodes include "Governing generative AI in organizations: a design theory and quasi-experimental field study of sociotechnical guardrails, Leon (2026)" (31 October 2026, 2 minutes), "Towards Designing AI-Enabled Adaptive Learning Systems, Kabudi (2023)" (29 October 2026, 9 minutes), and "Human-Centered Artificial Intelligence: Design Principles for Public Services, Schmager (2025)" (29 October 2026, 9 minutes).
1 More Paper (Brief) publishes roughly daily, with episodes averaging 4 minutes across 232 episodes.
Booking probability for 1 More Paper (Brief) is 36%, and the host is rated Selective on guests. 1 More Paper (Brief) requires a Pod Score of 80 or higher. 1 More Paper (Brief)'s contact route on record: public web form.
The strongest fits for 1 More Paper (Brief) are Scientific Research & Development. 1 More Paper (Brief) has a science audience.
Per André Rønsen hosts 1 More Paper (Brief), a science podcast with 232 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
1 More Paper (Brief)
Abstract Generative AI adoption has outpaced organizational governance capabilities. We conceptualize AI guardrails as sociotechnical governance mechanisms, comprising policy, technical, and workflow components that...
1 More Paper (Brief)
This Brief reads the authors' abstract and conclusion in the authors' own words. Authors: Tumaini Kabudi Institution: University of Agder Publication date: 2023 Read the paper Source license: Creative Commons...
1 More Paper (Brief)
This Brief reads the authors' abstract and conclusion in the authors' own words. Authors: Stefan Schmager Institution: University of Agder Publication date: 2025 Read the paper Source license: Creative Commons...
1 More Paper (Brief)
This Brief reads the authors' abstract and conclusion in the authors' own words. Authors: Sofie Bang Institution: Norwegian University of Science and Technology Publication date: 2023 Read the paper Source...
1 More Paper (Brief)
The study reports an LLM-assisted public-sector knowledge-management workflow using iterative prompt refinement, structured outputs and verbatim evidence grounding, compared with expert judgment across a large...
1 More Paper (Brief)
This study explores the use of generative AI (GenAI) and research integrity assessments of use cases by researchers, including PhD students, at Danish universities. Conducted through a survey sent to all Danish...
1 More Paper (Brief)
Multi-agent systems powered by large language models (LLMs) are transforming enterprise automation, yet systematic evaluation methodologies for assessing tool-use reliability remain underdeveloped. We introduce a...
1 More Paper (Brief)
Getting in Contract with Large Language Models – An Agency Theory Perspective on Large Language Model Alignment Research Paper Sascha Kaltenpoth1 and Oliver Müller1 Paderborn University, Department of Business...
1 More Paper (Brief)
Adopting Large Language Models to Automated System Integration Robin D. Pesl University of Stuttgart, Stuttgart, Germany the email address Abstract Modern enterprise computing systems integrate numerous subsystems to...
1 More Paper (Brief)
Agentic AI systems are a recently emerged and important approach that goes beyond traditional AI, generative AI, and autonomous systems by focusing on autonomy, adaptability, and goal-driven reasoning. This study...
1 More Paper (Brief)
The rapid development of artificial intelligence (AI) and growing reliance on generative AI (GenAI) tools such as ChatGPT and Bing Chat have raised concerns about risks, including privacy violations, bias, and...
1 More Paper (Brief)
Abstract The rapid expansion of artificial intelligence has accelerated its adoption across organizational functions. However, existing reviews often adopt sectoral or technology-focused perspectives, limiting...
1 More Paper (Brief)
A brief audio edition of this paper. Authors: E. Sánchez, R. Calderón, F. Herrera Publication date: 2025 Read the paper The authors and publisher do not sponsor or endorse this recording.
1 More Paper (Brief)
A brief audio edition of this paper. Authors: M. Jalalian Ebrahimi Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this recording.
1 More Paper (Brief)
A brief audio edition of this paper. Authors: L.Y. Koh, K.F. Yuen Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this recording.
1 More Paper (Brief)
A brief audio edition of this paper. Authors: Oliver Neumann, Katharina Guirguis, Reto Steiner Publication date: 2022 Read the paper The authors and publisher do not sponsor or endorse this recording.
1 More Paper (Brief)
A brief audio edition of this paper. Authors: L.A. Møller, H. Cools, M. Skovsgaard Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this recording.
1 More Paper (Brief)
A brief audio edition of this paper. Authors: K.D.V. Prasad, S. Singh, V. Srinivas, H. Kothari, A. Pathak, D. Shrimali Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this...
1 More Paper (Brief)
A brief audio edition of this paper. Authors: Bertrand De Longueville, Ignacio Sanchez, Snezha Kazakova, Stefano Luoni, Fabrizio Zaro, Kalliopi Daskalaki, Marco Inchingolo Published in: AI Publication date: 2025-06-17...
1 More Paper (Brief)
Generative AI is reshaping product design practices through “vibe coding”, where product team members express intent in natural language and AI translates it into functional prototypes and code. Despite rapid adoption...
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