Official launch of the Gender and Responsible Artificial Intelligence Network (GRAIN) in virtual mode

The consortium (IPAR, Sunbird AI, CSEA) will officially launch the Gender and Responsible Artificial Intelligence Network (GRAIN) on Monday 20 November 2023 at 10am GMT on the Zoom platform, in the presence of the partners and the wider AI and gender community.

GRAIN is being set up as part of the Artificial Intelligence for Development in Africa (AI4D Africa) programme, with financial support from Canada's International Development Research Centre (IDRC) and the Swedish International Development Cooperation Agency (Sida).

Indeed, the GRAIN network aims to function as a "collaborative space" bringing together local stakeholders with the necessary expertise, including for-profit, not-for-profit, academic, government and research organisations.

The network will also contribute to the ongoing debate on the responsible development and local deployment of AI innovations.

In webinar format, the launch will bring together experts in the fields of gender and AI, members of GRAIN, to explore in an innovative way the genesis of the GRAIN network and how we can collectively think about sustainable collaborative practices.

During this online meeting, the opportunity will be taken to present the beneficiaries of GRAIN's call for proposals on "Improving inclusion and gender equality through artificial intelligence in sub-Saharan Africa".

The event will take a participatory approach, including presentations, panel discussions and Q&A with the audience.

At the end of the launch, it is expected that a collaborative framework will be set up for experts from the gender and AI sectors to address gender equality in the design and construction of AI.

The network targets members of the IAPD Africa hubs and laboratories, digital stakeholders in the sub-Saharan region, gender researchers and specialists, digital and technology specialists, members of think tanks carrying out projects on AI and gender, and the general public.

Registration link :

Similar articles

Not that long ago, people lived and functioned in tight communities. Every vendor knew their customers personally and could make...


This Machine Learning Glossary aims to briefly introduce the most important Machine Learning terms - both for the commercially and...