Skip to content
@Fair-Forward

Fair Forward

Fair Forward: Artificial Intelligence for All - more open, inclusive and sustainable approach to AI on an international level

The “FAIR Forward – Artificial Intelligence for all” initiative promotes a more open, inclusive and sustainable approach to AI on an international level. It is implemented by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) on behalf of the German Federal Ministry for Economic Cooperation and Development (BMZ). FAIR Forward seeks to improve the foundations for AI innovation and policy in six partner countries: Ghana, India, Kenya, Rwanda, South Africa and Uganda. The FAIR Forward project pursues three main goals:   

  1. Remove entry barriers to AI (Access to training data and AI technologies for local innovation) : FAIR Forward facilitates the provision of open, non-discriminatory and inclusive training data and open source AI applications. 
  2. Strengthen local technical know-how on AI (Capacity development in Africa and Asia) : FAIR Forward supports digital learning and training for the development and use of AI and fosters cooperation with German and European research institutions and businesses. 
  3. Develop policy frameworks ready for AI (Ethical AI, data protection and privacy) : FAIR Forward advocates for value-based AI that is rooted in human rights, international norms such as accountability, transparency of decision-making and privacy, and draws on European experiences such as the EU General Data Protection Regulation (GDPR). Therefore, the project supports the development of effective political and regulatory frameworks in Africa and Asia. 

About this Github Space

Feel free to look at our pinned repositories for a collection of projects FAIR Forward has been involved in.

The corresponding repositories have been forked for the purpose of discoverability. Note that the development of these projects lies in hands of our partners. Note also that some repositories might not be up-to-date. In these cases, please check the upstream repositories for the latest updates.

Pinned Loading

  1. datasets datasets Public

    A catalogue that links to the various datasets collected throughout our programme

    Jupyter Notebook

  2. spot-the-crop-challenge spot-the-crop-challenge Public

    Forked from radiantearth/spot-the-crop-challenge

    Winning models from the Radiant Earth Spot the Crop Challenge (https://zindi.africa/competitions/radiant-earth-spot-the-crop-challenge)

    Jupyter Notebook

  3. courses-on-open-and-unbiasedAI-training-data courses-on-open-and-unbiasedAI-training-data Public

    Forked from AI-Lab-Makerere/courses-on-open-and-unbiasedAI-training-data

    Replication Kit for the Artificial Intelligent for All Series of Courses on Open and un-biased AI Training Data

  4. ml4eo-bootcamp-2021 ml4eo-bootcamp-2021 Public

    Forked from radiantearth/ml4eo-bootcamp-2021

    Machine Learning for Earth Observation Training of Trainers Bootcamp

    Jupyter Notebook

  5. lamwo-electrification-project lamwo-electrification-project Public

    Forked from SunbirdAI/lamwo-electrification-project

    Jupyter Notebook

Repositories

Showing 10 of 10 repositories

Top languages

Loading…

Most used topics

Loading…