Alex Tsado: Steps to building ethical and practical AI tools

To what extent can AI help solve challenges in Africa? Why is it important to get involved in the AI debate and shape AI? What can a responsible business strategy of an AI company look like? These are some of the questions Alex Tsado a reflects on in his talk.


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 utilized to facilitate discussions on the practical steps individuals can take to contribute to responsible AI development. It serves as a valuable resource in university courses, specifically in computer science, AI, and ethics. By incorporating this talk into the curriculum, students gain practical insights into mitigating biases and fostering ethical AI development.
  • In corporate settings, the talk can inform and enhance training programs. By featuring it, companies can sensitize their employees to the critical importance of diversity and inclusion in AI development. The talk encourages a proactive approach, empowering staff to actively contribute to shaping technology that reflects diverse perspectives.
  • AI startups can use the talk as a foundational guide. It provides insights into understanding and addressing biases from the early stages of development. By emphasizing the long-term benefits of ethical considerations, startups can integrate responsible practices, ensuring sustainable and socially conscious business practices.
  • The talk can be a good introduction to finding out about developments in AI in Africa.


Alex Tsado: Steps to building ethical and practical AI tools by Alex Tsado, Alliance4AI for: Goethe Institut | AI2Amplify is licensed under Attribution-ShareAlike 4.0 International

Here you will find more information on further use.

A person with their hands on a laptop keyboard is looking at something happening over their screen with a worried expression. They are white, have shoulder length dark hair and wear a green t-shirt. The overall image is illustrated in a warm, sketchy, cartoon style. Floating in front of the person are three small green illustrations representing different industries, which is what they are looking at. On the left is a hospital building, in the middle is a bus, and on the right is a siren with small lines coming off it to indicate that it is flashing or making noise. Between the person and the images representing industries is a small character representing artificial intelligence made of lines and circles in green and red (like nodes and edges on a graph) who is standing with its ‘arms’ and ‘legs’ stretched out, and two antenna sticking up. A similar patten of nodes and edges is on the laptop screen in front of the person, as though the character has jumped out of their screen. The overall image makes it look as though the person is worried the AI character might approach and interfere with one of the industry icons.
Yasmin Dwiputri & Data Hazards Project / Better Images of AI / AI across industries. / Licenced by CC-BY 4.0