<b>May AI Machines End the War? An Invitation to the Peace Conference Project</b>

Each participant of the conference uses their applicant form, which functions as a PCP machine that must communicate with the conference, represented by a repository. The repository contains all conversations with the LLM and is continuously updated with new conversations submitted via PCP machines/forms from participants.A participant may submit to the repository either an empty form (with text fields left unfilled) containing only some personal data or a form filled with texts from newly conducted conversations with the LLM, generated in response to questions from the invitation paper.How should the texts be filled in? The simplest approach would be to use a predefined set of questions—say, ten—then use these to query their LLM, receiving responses that generate a new conversation, which can then be recorded in the form.What is the significance of this process? Different participants, even when using the same set of questions, will receive different conversations. Furthermore, this questioning can be performed in two ways:Without allowing the participant’s local LLM repository to read prior conversations.After granting access to the repository’s content (previous conversations).

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28309229.v1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

May AI Machines End the War? An Invitation to the Peace Conference Project

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Ethics and Social Impacts of AI
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May AI Machines End the War? An Invitation to the Peace Conference Project

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Abstract

Each participant of the conference uses their applicant form, which functions as a PCP machine that must communicate with the conference, represented by a repository. The repository contains all conversations with the LLM and is continuously updated with new conversations submitted via PCP machines/forms from participants.A participant may submit to the repository either an empty form (with text fields left unfilled) containing only some personal data or a form filled with texts from newly conducted conversations with the LLM, generated in response to questions from the invitation paper.How should the texts be filled in? The simplest approach would be to use a predefined set of questions—say, ten—then use these to query their LLM, receiving responses that generate a new conversation, which can then be recorded in the form.What is the significance of this process? Different participants, even when using the same set of questions, will receive different conversations. Furthermore, this questioning can be performed in two ways:Without allowing the participant’s local LLM repository to read prior conversations.After granting access to the repository’s content (previous conversations).

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Ethics and Social Impacts of AI
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