Nathan Ross-Adams: Building inclusive AI for sustainable development in Africa

In this ‘AI to amplify’ talk, Nathan Ross-Adams guides the audience into the world of inclusive AI. Discover the vital role AI plays in sustainable development across Africa, and explore the challenges and solutions in building AI systems that truly represent our diverse world. Ross-Adams, with his rich experience and engaging insights, will guide us through the complexities of ethical AI, data diversity, and practical steps towards achieving truly inclusive technology. 


Summary and transcript


Here you will find short excerpts from the talk. They can be used as micro-content, for example as an introduction to discussions or as individual food for thought.

Ideas for further use

  • The talk can be used in university courses related to computer science, AI, ethics, and development studies. It provides valuable insights into the practical aspects of building inclusive AI systems.
  • For policymakers and government officials, this talk can inform decisions related to technology, data privacy, and sustainable development.
  • Non-governmental organizations and international development agencies can use the talk to understand the role of AI in sustainable development, particularly in African contexts, and how to incorporate inclusive practices in their projects.
  • Companies involved in AI and technology can use the talk to train their staff on the importance of inclusivity in AI development, helping them understand how to incorporate diverse datasets and consider ethical implications in their work.


Nathan Ross-Adams: Building inclusive AI for sustainable development in Africa by Nathan Ross-Adams (South Africa) for: Goethe Institut | AI2Amplify is licensed under Attribution-ShareAlike 4.0 International

Here you will find more information on further use.

A photographic rendering of a young black man standing in front of a cloudy blue sky, seen through a refractive glass grid and overlaid with a diagram of a neural network.
Image by Alan Warburton / © BBC / Better Images of AI / Quantified Human / Licenced by CC-BY 4.0