TY - GEN
T1 - Opportunities and Challenges of Emerging Human-AI Interactions to Support Healthcare in the Global South
AU - Fuentes, Carolina
AU - Rodríguez, Iyubanit
AU - Cajamarca, Gabriela
AU - Cabrera-Quiros, Laura
AU - Lucero, Andrés
AU - Herskovic, Valeria
AU - O'hara, Kenton
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/11/13
Y1 - 2024/11/13
N2 - 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.
AB - 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.
KW - emerging technologies
KW - global south
KW - healthcare
KW - human-ai collaboration
KW - human-ai interaction
KW - human-centred ai
KW - latin america
UR - https://www.scopus.com/pages/publications/85214577384
U2 - 10.1145/3678884.3681834
DO - 10.1145/3678884.3681834
M3 - Contribución a la conferencia
AN - SCOPUS:85214577384
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 724
EP - 727
BT - CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing
A2 - Bernstein, Michael
A2 - Bruckman, Amy
A2 - Gadiraju, Ujwal
A2 - Halfaker, Aaron
A2 - Ma, Xiaojuan
A2 - Pinatti, Fabiano
A2 - Redi, Miriam
A2 - Ribes, David
A2 - Savage, Saiph
A2 - Zhang, Amy
PB - Association for Computing Machinery
T2 - 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024
Y2 - 9 November 2024 through 13 November 2024
ER -
