task_categories:table-question-answering task_categories:text-classification size_categories:n<1K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us generative ai genai chatbot
---
task_categories:
- table-question-answering
- text-classification
tags:
- generative ai
- genai
- chatbot
---
Dataset Abstract:

Data extraction. And intents.json creation spawning from the Brookings Institute's research, derives from DeepSeek.

The rapid advancement of generative artificial intelligence (AI) technologies has raised significant concerns about their impact on democratic processes, particularly during election years. This research, conducted in collaboration with the Brookings Institute, examines the role of generative AI in shaping the information ecosystem surrounding global elections in 2024. The study focuses on the capabilities of generative AI to produce realistic images, videos, audio, and text, and analyzes how these technologies can be exploited to manipulate public opinion and undermine electoral integrity.

Through a comprehensive analysis of existing literature, case studies, and expert interviews, the research identifies key challenges and opportunities associated with the use of generative AI in election contexts. The findings highlight the potential for AI-generated content to influence voter behavior, create false narratives, and exacerbate existing information disorders. Additionally, the study explores the implications of these technologies for policy-makers, tech companies, and civil society, proposing a range of interventions to mitigate the risks posed by generative AI.

The research concludes with a set of recommendations aimed at enhancing the resilience of democratic institutions against the threats posed by generative AI. These include the development of robust regulatory frameworks, the implementation of technical solutions to detect and counter AI-generated disinformation, and the promotion of digital literacy among voters. By addressing these challenges, the study argues, it is possible to harness the benefits of generative AI while safeguarding the integrity of electoral processes and the foundations of democratic discourse.

This abstract summarizes the key findings and recommendations from the Brookings Institute's research on the impact of generative AI in a global election year, providing a critical assessment of the current landscape and offering strategic guidance for stakeholders seeking to navigate this complex and rapidly evolving field.