Summary of Nteasee: a Mixed Methods Study Of Expert and General Population Perspectives on Deploying Ai For Health in African Countries, by Mercy Nyamewaa Asiedu et al.
Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries
by Mercy Nyamewaa Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine Heller
First submitted to arxiv on: 4 Sep 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A mixed-methods study investigated best practices, fairness indicators, and potential biases when deploying artificial intelligence (AI) for health in African countries. Experts in health, policy, and AI from 17 countries shared their views through in-depth interviews, highlighting trust/mistrust, ethical concerns, and systemic barriers to integration. A survey of 672 general population participants across 5 countries found generally positive attitudes towards AI usage for health in Africa, with high levels of trust but moderate concern. This research presents the first qualitative study on AI for health in Africa from an algorithmic fairness perspective, emphasizing the importance of considering both expert and general population perspectives in decision-making. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI can be used to improve healthcare in Africa, but it’s important to understand how people feel about this technology. A group of experts was asked what they thought about using AI for health in different African countries. They talked about trusting or not trusting AI, being worried about its use, and seeing barriers that make it hard to integrate into the healthcare system. Meanwhile, a survey of regular people found that many were positive about using AI for health, but had some concerns. This study is important because it looks at how people in Africa think about AI from different perspectives. It shows that we need to consider both what experts and regular people think when deciding whether or not to use AI in healthcare. |
