On how to develop a Peace conference space in LLM environment

Zeps, Dainis On how to develop a Peace conference space in LLM environment. [Preprint] (Submitted)

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Abstract

This article explores how Large Language Models (LLMs) can evolve from passive information providers into active facilitators of structured peace discussions, effectively simulating a Peace Conference space within an AI-driven environment. Traditionally, peace conferences are organized by political leaders and international institutions, but with the increasing sophistication of AI, we examine how LLMs could assume a more dynamic role in shaping geopolitical discourse, strategic foresight, and conflict resolution efforts.
Starting from fundamental questions on Ukraine’s defense, European security, and Russia’s future actions, we gradually shift the discussion toward the possibility of LLMs autonomously structuring responses as if they were moderating a Peace Conference. Through ten critical questions and answers, we outline the mechanisms that would allow AI to transition from answering political inquiries to facilitating complex, multi-perspective negotiations on long-term peace strategies.
This study argues that if LLMs are trained to detect and construct structured diplomatic dialogue, they could serve as a new type of global political discussion platform, offering policy simulations, strategic scenario-building, and real-time analytical frameworks. Such an evolution would allow decision-makers, activists, and researchers to engage with AI not just as an information source, but as a thought partner in peace-building initiatives.
The findings suggest that with proper refinement, LLMs could revolutionize political discourse by creating a persistent, AI-driven space for peace negotiations, offering deeper insights and fostering a more proactive approach to global security challenges.

Item Type:Preprint
Uncontrolled Keywords:Artificial Intellect, LLM
Subjects:H Social Sciences > H Social Sciences (General)
Q Science > Q0 Interdisciplinary sciences
Q Science > QA Mathematics (General) > QA75 Computer science
Divisions:University of Latvia > SR Science and Religion Dialogue. Interdisciplinary Group
References:
1. Burgert A Senekal, Die neerslag van Russiese propaganda in kommentare op Maroela Media se nuusberigte oor die oorlog in Oekraïne, (Traces of Russian propaganda narratives in comments on Maroela Media’s news reports about the war in Ukraine) https://doi.org/10.56273/1995-5928/2023/j20n2b2, 2023-05-31

2. Burgert Senekal, Querying Google NoteBookLM on North Atlantic Treaty Organisation (NATO) options to resolve the New Cold War: A preliminary study, Peace Conference Project Journal, https://doi.org/10.5281/zenodo.14793148, 2025

3. Burgert Adriaan Senekal, ChatGPT as a Source of Information about Russian Military Involvement in Ukraine (2014–Present), University of the Free State, South Africa, https://doi.org/10.1080/02500167.2024.2405018, https://www.tandfonline.com/doi/pdf/10.1080/02500167.2024.2405018

4. Burgert Senekal, A bibliography of Russian disinformation operations, https://zenodo.org/records/14824172, 2025

5. Dainis Zeps, Multilingual conversation about war in Ukraine, https://lingua.id.lv/art/war.16.pdf

6. Dainis Zeps, Otrā saruna ar ChatGPT par karu Ukrainā, https://lingua.id.lv/art/war.17.pdf

7. D. Zeps, Russia's aggressive war against Ukraine: a conversation with gpt.4o and its analysis, Zinātnes un Reliģijas dialoga grupas seminārs, 27. novembrī, 2024, https://lingua.id.lv/art/war.15.pdf

8. D. Zeps, The New World, or The world after Ukraine's victory, https://hal.science/hal-04839439

9. D. Zeps, Krievijas Ukrainas karš: saruna ar gpt-4o https://www.researchgate.net/publication/384159494

10. D. Zeps, Russia's Ukraine War: A Conversation with GPT-4o https://www.researchgate.net/publication/384423307

11. D. Zeps, Should the Biden government be sued for meddling in their country's presidential election by using an arms blocking on Ukraine? , https://lingua.id.lv/art/war.7.pdf

12. D. Zeps, Russia delenda est: how we understand this, https://www.researchgate.net/publication/387538894

13. Dainis Zeps, Russia delenda est, or Demilitarisation, Depropagandisation, Deescalisation: how we see this? https://www.researchgate.net/publication/387527944

14. Dainis Zeps, Russia delenda est, або демілітаризація, депропаганда, деескалація: як ми це розуміємо? https://www.researchgate.net/publication/387526782

15. Dainis Zeps, Russia delenda est, vai Demilitarizācija, Depropagandizācija, Deeskalizācija: kā mēs to saprotam? https://www.researchgate.net/publication/387521785

16. Dainis Zeps, Kā palīdzēt Ukrainai uzvarēt? Kas mums ir jādara Ukrainas atbalstam? Jauna saruna ar MI, https://lingua.id.lv/art/war.25.pdf, 2025

17. D. Zeps, Planetary Education: Conversations with LLM Machines on Current International Issues, https://lingua.id.lv/art/war.32.pdf, 2025

18. D. Zeps, Vai būt blēdim ir izdevīgi? Ko saka Mākslīgais internets, AI?, https://core.ac.uk/reader/612052838 , 2024

19. Dainis Zeps, Can AI Help End the War? LLMs in support of Peace Conference Project. A new conversation, https://zenodo.org/records/14849594 , February, 2025

20. D. Zeps, War destroys the weak, the cowardly, the stupid, Added. 21.3.2024, https://lingua.id.lv/art/war.3.pdf

21. D. Zeps, Karš izdeldē vājos, gļēvos, glupos, Papildināts.2.4.2024., https://lingua.id.lv/art/war.5.pdf

22. Dainis Zeps, Russia's aggressive war against Ukraine: a conversation with gpt.4o and its analysis, https://lingua.id.lv/art/war.15.pdf, https://scireprints.lu.lv/525/ , 2024

23. 19. D. Zeps, Что на Руси творится: Проект Россия, https://www.researchgate.net/publication/318038370 , 2017

24. Dainis Zeps, GPT no iekšpuses: ko var iesākt ar GPT? Matemātiķa skatījums. Mans skatījums. https://scireprints.lu.lv/503/2/GPT.kas.tas.ir.pdf 2023

25. Dainis Zeps, Jaunā Minhene, kurp tā vedīs? Papildināts 16.02.2, https://lingua.id.lv/art/war.37.pdf, 2025

ID Code:545
Deposited By: Dainis Zeps
Deposited On:18 Feb 2025 13:30
Last Modified:18 Feb 2025 13:30

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