Abstract
Advances in AI and emerging technologies offer opportunities to deliver societal benefits in low- and middle-income countries (LMICs) that would contribute to achieve the United Nations Sustainable Development Goals. AI systems in healthcare may contribute to develop assistive technologies, bridging the digital divide, improving the quality of life through effective health systems, and developing more personalised and precise medicine. Given the imbalanced research on emerging healthcare technologies across Global North and Global South, there is a strong imperative to develop a larger corpus of understanding of human-centred AI design practices in healthcare and the particularities of the region. This understanding is crucial for the successful adoption of innovative solutions offered by emerging technologies in LMICs. In this workshop, we aim to engage in a thorough discussion with researchers and practitioners about barriers of development, adoption, interaction and envisioned benefits of developing collaborative emerging technologies to support the healthcare context in the Latin-American and Caribbean region. In this collocated workshop We want to unpack the sociotechnical challenges of AI systems in healthcare and what good practices would be critical for human-AI collaboration.
| Original language | English |
|---|---|
| Title of host publication | CSCW Companion '24 |
| Subtitle of host publication | Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing. |
| Publisher | Association for Computing Machinery |
| Pages | 724-727 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798400711145 |
| DOIs | |
| Publication status | Published - 11 Nov 2024 |
Publication series
| Name | CSCW: Computer Supported Cooperative Work |
|---|---|
| Publisher | ACM |
| ISSN (Print) | 0000-0000 |
| ISSN (Electronic) | 0000-0000 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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