The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile
Edyta Bogucka, Marios Constantinides, Julia De Miguel Velazquez, Sanja, \v{S}\'cepanovi\'c, Daniele Quercia, Andr\'es Gvirtz

TL;DR
This paper introduces an interactive visualization tool that uses narrative and design to help the general public understand the diverse risks and benefits of AI in mobile computing, based on analysis of 54 real incidents.
Contribution
It presents a novel visualization approach tailored for non-experts to comprehend AI risks in mobile computing, highlighting design choices that improve understanding and reflection.
Findings
Visualization enhances public understanding of AI risks.
Certain low-risk AI applications can still lead to significant incidents.
Design choices influence how effectively risks are communicated.
Abstract
Today's visualization tools for conveying the risks and benefits of AI technologies are largely tailored for those with technical expertise. To bridge this gap, we have developed a visualization that employs narrative patterns and interactive elements, enabling the broader public to gradually grasp the diverse risks and benefits associated with AI. Using a dataset of 54 real-world incidents involving AI in mobile computing, we examined design choices that enhance public understanding and provoke reflection on how certain AI applications - even those deemed low-risk by law - can still lead to significant incidents. Visualization: https://social-dynamics.net/mobile-ai-risks
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Taxonomy
TopicsEthics and Social Impacts of AI
