IMPORTANT DATES

Submit by 1 December 2026

Author notifications: 13 December 2026

Topics of Interest

BRAID invites researchers and practitioners from AI, political science, law, journalism, fact-checking, and public policy to contribute to a shared research agenda for trustworthy information ecosystems. We welcome technical methods, empirical findings, conceptual frameworks, and practical challenges, especially work that identifies opportunities for collaboration across disciplines.

1. Defining information integrity across disciplines

Shared frameworks for evidence, reliability, source authority, public trust, freedom of expression, and institutional responsibility. Where do computational, social science, and legal objectives align, and where do they imply competing requirements?

2. Evaluating democratic contributions

Evaluation methods that connect technical accuracy and evidence fidelity to understanding, trust, participation, and democratic deliberation. What evidence would establish that an AI system improves an information environment?

3. Curating safe LLM pre-training datasets

Source credibility assessment, provenance tracking, misinformation filtering, and training-data curation. How can these choices improve factual reliability without introducing bias or unequal coverage?

4. Governing synthetic media in democratic discourse

Deepfake detection, watermarking, provenance, and proportionate interventions in synthetic content. Contributions may examine political expression, impersonation and deception, legal safeguards, and the responsibilities of developers, platforms, public institutions, and users.

Related work in automated and agentic fact-checking, NLP, information retrieval, human–AI interaction, and AI as a research method in political science is also welcome.