The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866911964165308416 |
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| author | Bogucka, Edyta Constantinides, Marios Velazquez, Julia De Miguel Šćepanović, Sanja Quercia, Daniele Gvirtz, Andrés |
| author_facet | Bogucka, Edyta Constantinides, Marios Velazquez, Julia De Miguel Šćepanović, Sanja Quercia, Daniele Gvirtz, Andrés |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_15685 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile Bogucka, Edyta Constantinides, Marios Velazquez, Julia De Miguel Šćepanović, Sanja Quercia, Daniele Gvirtz, Andrés Human-Computer Interaction K.4.1, K.4.2, H.5.3, D.2.9 K.4.1; K.4.2; H.5.3; D.2.9 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 |
| title | The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile |
| topic | Human-Computer Interaction K.4.1, K.4.2, H.5.3, D.2.9 K.4.1; K.4.2; H.5.3; D.2.9 |
| url | https://arxiv.org/abs/2407.15685 |