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Responsible AI: Principles, Risks, and Practical Steps for Machine Learning Practitioners
Learning / Knowledge Hub Research

Responsible AI: Principles, Risks, and Practical Steps for Machine Learning Practitioners

Picture by BoliviaInteligente Introduction Why “responsible” matters now? Artificial intelligence and machine learning are no longer research curiosities: they are embedded in business operations, public…

Samkelo Msibi October 24, 2025October 24, 2025
Building YOLOv7 Pipelines for Maize Disease
Projects Research

Building YOLOv7 Pipelines for Maize Disease

As part of AI Eswatini’s agriculture initiative, we’re leveraging YOLOv7 to detect and classify maize diseases with precision. Our goal is to provide farmers with…

Bandile Malaza October 19, 2025October 19, 2025

Recent Posts

  • Responsible AI: Principles, Risks, and Practical Steps for Machine Learning Practitioners
  • AI Eswatini Member Spotlight: Khanyisile Magagula
  • Detecting Maize Diseases with YOLOv7: Harnessing AI for Smarter Farming in Eswatini
  • AI Eswatini x AMLD Africa Learnathon, 2025
  • AI Eswatini at Deep Learning Indaba 2025 in Kigali, Rwanda

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  1. Samkelo Msibi on AI Eswatini x AMLD Africa Learnathon, 2025

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