Public Discourse Sandbox: Facilitating Human and AI Digital Communication Research
Kristina Radivojevic, Caleb Reinking, Shaun Whitfield, Paul Brenner

TL;DR
The paper introduces the Public Discourse Sandbox, a controlled platform for researching human-AI and AI-AI communication, addressing data access, ethical concerns, and enabling experimentation with AI behaviors in digital discourse.
Contribution
It presents a novel, secure research platform that facilitates scalable, ethical, and controlled studies of AI interactions in digital communication environments.
Findings
Provides a safe space for AI communication experiments
Supports techniques like prompt engineering and fine-tuning
Open-sourced code for community collaboration
Abstract
Social media serves as a primary communication and information dissemination platform for major global events, entertainment, and niche or topically focused community discussions. Therefore, it represents a valuable resource for researchers who aim to understand numerous questions. However, obtaining data can be difficult, expensive, and often unreliable due to the presence of bots, fake accounts, and manipulated content. Additionally, there are ethical concerns if researchers decide to conduct an online experiment without explicitly notifying social media users about their intent. There is a need for more controlled and scalable mechanisms to evaluate the impacts of digital discussion interventions on audiences. We introduce the Public Discourse Sandbox (PDS), which serves as a digital discourse research platform for human-AI as well as AI-AI discourse research, testing, and training.…
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Taxonomy
TopicsAI in Service Interactions · Ethics and Social Impacts of AI · Artificial Intelligence in Healthcare and Education
