The Role of Artificial Intelligence in Enhancing Public Awareness and Communication on Indoor Radon Risk

Session

Medicine and Nursing

Description

Radon is a naturally occurring radioactive gas and the second leading cause of lung cancer, particularly among non-smokers. Despite its health risks, public awareness of indoor radon exposure remains low in many countries, including Kosovo. Traditional risk communication often struggles to engage diverse populations or adapt to modern digital habits. This paper explores the potential of artificial intelligence (AI) to enhance radon awareness through intelligent communication tools. Natural language processing (NLP) and AI-powered chatbots can deliver instant, personalized, and accessible information tailored to different languages, literacy levels, and cultural contexts. Additionally, sentiment analysis of social media can detect misconceptions and guide authorities in refining outreach strategies. The study proposes a lightweight AI-driven communication framework for low-cost implementation by health and environmental institutions. Drawing on successful international models, the framework demonstrates how AI can bridge the gap between scientific knowledge and public understanding, ultimately contributing to a more informed and health-conscious society.

Keywords:

Radon, Artificial Intelligence, Risk Communication, Public Awareness, NLP, Chatbots, Health Informatics

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Lipjan, Kosovo

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.365

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

The Role of Artificial Intelligence in Enhancing Public Awareness and Communication on Indoor Radon Risk

UBT Lipjan, Kosovo

Radon is a naturally occurring radioactive gas and the second leading cause of lung cancer, particularly among non-smokers. Despite its health risks, public awareness of indoor radon exposure remains low in many countries, including Kosovo. Traditional risk communication often struggles to engage diverse populations or adapt to modern digital habits. This paper explores the potential of artificial intelligence (AI) to enhance radon awareness through intelligent communication tools. Natural language processing (NLP) and AI-powered chatbots can deliver instant, personalized, and accessible information tailored to different languages, literacy levels, and cultural contexts. Additionally, sentiment analysis of social media can detect misconceptions and guide authorities in refining outreach strategies. The study proposes a lightweight AI-driven communication framework for low-cost implementation by health and environmental institutions. Drawing on successful international models, the framework demonstrates how AI can bridge the gap between scientific knowledge and public understanding, ultimately contributing to a more informed and health-conscious society.