Empowering Local Communities using Artificial Intelligence

Yen-Chia Hsu; Ting-Hao Huang; Himanshu Verma; Andrea Mauri; Illah Nourbakhsh; Alessandro Bozzon

doi:10.1016/j.patter.2022.100449

Empowering Local Communities using Artificial Intelligence

Yen-Chia Hsu^*, Ting-Hao Huang, Himanshu Verma, Andrea Mauri, Illah Nourbakhsh, Alessandro Bozzon

^*Corresponding author for this work

Human-Centred Artificial Intelligence

Research output: Contribution to journal › Review article › peer-review

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Abstract

Artificial intelligence (AI) applications can profoundly affect society. Recently, there has been extensive interest in studying how scientists design AI systems for general tasks. However, it remains an open question asto whether the AI systems developed in this way can work as expected in different regional contexts while
simultaneously empowering local people. How can scientists co-create AI systems with local communitiesto address regional concerns? This article contributes new perspectives in this underexplored direction atthe intersection of data science, AI, citizen science, and human-computer interaction. Through case studies,
we discuss challenges in co-designing AI systems with local people, collecting and explaining communitydata using AI, and adapting AI systems to long-term social change. We also consolidate insights into bridgingAI research and citizen needs, including evaluating the social impact of AI, curating community datasets for
AI development, and building AI pipelines to explain data patterns to laypeople.

Original language	English
Article number	100449
Number of pages	7
Journal	Patterns
Volume	3
Issue number	3
DOIs	https://doi.org/10.1016/j.patter.2022.100449
Publication status	Published - 2022

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abstract = "Artificial intelligence (AI) applications can profoundly affect society. Recently, there has been extensive interest in studying how scientists design AI systems for general tasks. However, it remains an open question asto whether the AI systems developed in this way can work as expected in different regional contexts whilesimultaneously empowering local people. How can scientists co-create AI systems with local communitiesto address regional concerns? This article contributes new perspectives in this underexplored direction atthe intersection of data science, AI, citizen science, and human-computer interaction. Through case studies,we discuss challenges in co-designing AI systems with local people, collecting and explaining communitydata using AI, and adapting AI systems to long-term social change. We also consolidate insights into bridgingAI research and citizen needs, including evaluating the social impact of AI, curating community datasets forAI development, and building AI pipelines to explain data patterns to laypeople.",

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AU - Nourbakhsh, Illah

AU - Bozzon, Alessandro

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Empowering Local Communities using Artificial Intelligence

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