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TECHNOLOGY FOR DEVELOPMENT

Finance & Development, 2023-12, Vol.60 (4), p.42-45

Copyright International Monetary Fund Dec 2023 ;ISSN: 0015-1947 ;EISSN: 1564-5142

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  • Title:
    TECHNOLOGY FOR DEVELOPMENT
  • Author: Björkegren, Daniel ; Blumenstock, Joshua
  • Subjects: Artificial intelligence ; Communication ; COVID-19 ; Developing countries ; LDCs ; Low income groups ; Machine learning ; Transparency
  • Is Part Of: Finance & Development, 2023-12, Vol.60 (4), p.42-45
  • Description: Recent examples illustrate how AI-based technologies can target aid and credit better and improve access to tailored teaching and medical advice. Using Al, the system processed data from satellites and mobile phone companies to identify signatures of poverty-such as villages that appeared underdeveloped in aerial imagery and mobile subscribers with low balances on their phones. The AI-based program also raised another concern: algorithms that perform well in a laboratory may not be reliable when deployed for consequential decisions on the ground. The challenge is not in dreaming big-it's easy to imagine how these systems can benefit the poor-but in ensuring that these systems meet people's needs, work in local conditions, and do not cause harm.
  • Publisher: Washington: International Monetary Fund
  • Language: English
  • Identifier: ISSN: 0015-1947
    EISSN: 1564-5142
  • Source: Alma/SFX Local Collection
    ProQuest Central
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