Proceedings of the International Workshop on Social Impact of AI for Africa 2022

Chapters

• Keynote Talk: AI at Africa's Crossroads: Extractive or Generative Future?
  Ron Eglash
  DOI: https://doi.org/10.21467/proceedings.157.k1
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• Keynote Talk: How DSN is Contributing to Social Impact in Africa
  Opeyemi Osakuade
  DOI: https://doi.org/10.21467/proceedings.157.k2
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• Applications and Considerations for AI-EO for Agriculture in Sub-Saharan Africa
  Catherine L. Nakalembe, Hannah R. Kerner
  DOI: https://doi.org/10.21467/proceedings.157.1
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• COVNLP: A Multisource COVID-19 Dataset for Natural Language Processing
  Olubayo Adekanmbi, Wuraola Fisayo Oyewusi, Warrie Warrie, Adedayo Odukoy, Abimbola Olawale, Opeyemi Osakuade, Mary Salami
  DOI: https://doi.org/10.21467/proceedings.157.2
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• Machine Learning Analysis of Music Based on Music Information Retrieval Tasks
  Folorunso, S. O., Banjo, O. O., Awotunde, J. B, Ayo, F. E.
  DOI: https://doi.org/10.21467/proceedings.157.3
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• The Big Data Workshop in Africa
  Yetunde Folajimi
  DOI: https://doi.org/10.21467/proceedings.157.4
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• Performance Comparison of Machine Learning Algorithms Clinical Diagnoses of the Risk of Knee Osteoarthritis (KOA)
  Olayemi O. Catherine, Olasehinde O.Olayemi, Alowolodu O. Dayo
  DOI: https://doi.org/10.21467/proceedings.157.5
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• An AI Approach to Integrating Climate, Hydrology, and Agriculture Models
  Belete Berhanu, Ethiopia Bisrat Zeleke, Yolanda Gil, Deborah Khider, Maximiliano Osorio, Varun Ratnakar, Hernán Vargas
  DOI: https://doi.org/10.21467/proceedings.157.6
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• Globalization in Computer Science Education: A Case Study of Wentworth’s Open House for Nigeria
  Yetunde Folajimi, Memo Egezer, Salem Othman, Durga Suresh-Menon
  DOI: https://doi.org/10.21467/proceedings.157.7
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• Classification of Debt Vulnerability in Sub-Saharan African Countries Using Various Machine Learning Tree Based Algorithms
  Danielle Shackley, Brendan Dao, Salem Othman
  DOI: https://doi.org/10.21467/proceedings.157.8
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• A Post COVID-19 Analytics of African Users Perception of Online Learning
  Zainab Olorunbukademi Abdulkareem, Yetunde Folajimi, Sulyman Age Abdulkareem
  DOI: https://doi.org/10.21467/proceedings.157.9
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• Bias in AI and Machine Learning: The Impact of COVID-19 in African Healthcare Communities
  Andrew Galvin, Andrew Hogan
  DOI: https://doi.org/10.21467/proceedings.157.10
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