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Artificial Intelligence (AI) is a key technology driving the global digital revolution. It offers a range of new opportunities to break down existing barriers to human development and social inclusion and to help achieve Sustainable Development Goals (SDGs).

The lack of open access to training data for AI in African countries is a key barrier to the effective development and use of AI technologies at the local level. Many sources of data, for example, language data or image data, are not yet openly available for African users. This means that local AI developers often need to use data from Western countries which is not representative of the local context and may produce flawed results.

This course focuses on addressing practical challenges to AI training data in African countries as a way of strengthening local actors in the field of AI through locally developed learning content. This course is about building open, locally relevant, and unbiased AI training data for AI practitioners in Africa.

The course contains explanatory videos that will increase the available technical know-how on:

Artificial Intelligence for All: How to prepare open training data and share it for re-use by others following international standards

Below are links to other related courses

Artificial Intelligence for All: Open AI Training Data for African Languages

Artificial Intelligence for All: Open AI Training Data for Earth Observation

Artificial Intelligence for All: How to eliminate or mitigate biases in Artificial Intelligence training data

Artificial Intelligence for All: How to Create and Sustain Open AI Image Training Data

Pre-requisite: The learner should have some beginner knowledge of Python or another programming language.

Credit: This course is brought to you by Makerere University in partnership with GiZ and FAIR Forward - Artificial Intelligence for All.

License: CC-BY-SA.

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