Oct 31, 20262h 7m
Abstract Generative AI adoption has outpaced organizational governance capabilities. We conceptualize AI guardrails as sociotechnical governance mechanisms, comprising policy, technical, and workflow components that...
About this Podcast:
Listen to the latest research on how organizations adopt AI, reshape work, and govern its use. Full papers, read verbatim (by AI).
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What is 1 More Paper about?
Listen to the latest research on how organizations adopt AI, reshape work, and govern its use. Full papers, read verbatim (by AI).
What has 1 More Paper covered recently?
Recent episodes include "Governing generative AI in organizations: a design theory and quasi-experimental field study of sociotechnical guardrails, Leon (2026)" (31 October 2026, 127 minutes), "Human-Centered Artificial Intelligence: Design Principles for Public Services, Schmager (2025)" (29 October 2026, 340 minutes), and "Applications of AI in Construction: From ambition to practice, Bang (2023)" (29 October 2026, 551 minutes).
How often does 1 More Paper publish?
1 More Paper publishes roughly daily, with episodes averaging 122 minutes.
How hard is it to get booked on 1 More Paper?
Booking probability for 1 More Paper is 36%, and the host is rated Selective on guests. 1 More Paper requires a Pod Score of 80 or higher. 1 More Paper's contact route on record: public web form.
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The strongest fits for 1 More Paper are Scientific Research & Development. 1 More Paper has a science audience.
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1 More Paper is a science podcast.
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Recent episodes
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
Human-Centered Artificial Intelligence: Design Principles for Public Services — Schmager (2025)
Oct 29, 20265h 40mThis Full Reading presents the paper's text as an audio edition. Authors: Stefan Schmager Institution: University of Agder Publication date: 2025 Read the paper Source license: Creative Commons Attribution 4.0...
- Oct 29, 20269h 11m
This Full Reading presents the paper's text as an audio edition. Authors: Sofie Bang Institution: Norwegian University of Science and Technology Publication date: 2023 Read the paper Source license: Creative...
- Oct 28, 20261h 57m
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...
- Oct 26, 20261h 8m
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...
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- Oct 19, 202632 min
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...
- Oct 19, 202643 min
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...
- Oct 19, 202631 min
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...
- Oct 19, 20263h 29m
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...
- Oct 19, 20261h 25m
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...
- Oct 19, 20261h 21m
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...
- Oct 19, 20263h 3m
Since the launching of ChatGPT (generative) AI has been developed so much and fast that it has entered higher education (HE) and higher education institutions (HEIs). The article is meant to help HE(Is) how to deal with...
1 More Paper
A critical juncture: Integrating large language models in biostatistical workflows — Sahu (2026)
Oct 18, 20266 minA full audio edition of this paper. Authors: V. Sahu Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this recording.
1 More Paper
ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace — Söllner et al. (2025)
Oct 18, 20261h 14mA full audio edition of this paper. Authors: Matthias Söllner, Thomas Arnold, Alexander Benlian, Ulrich Bretschneider, Caroline Knight, Ohly Sandra, Lena Rudkowski, Gerhard Schreiber, Domenik Wendt Publication date...
- Oct 18, 20261h 1m
A full 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. Brief episode
- Oct 18, 20261h 12m
A full 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. Brief episode
1 More Paper
One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI — Møller et al. (2026)
Oct 18, 20261 hourA full 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. Brief episode
- Oct 18, 20261h 6m
A full 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...
- Oct 18, 20261h 55m
A full 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...
- Oct 18, 20261h 59m
Responsible Artificial Intelligence (RAI) is widely considered as one of the greatest scientific challenges of our time and is key to increase the adoption of Artificial Intelligence (AI). Recently, a number of AI...
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