Videos
Playlist
-
Training Workshop on AI and Genderw video
See more .... -
A gender sensitive practice of research inthe development and deployment of responsible AI in Africa
See more ....Moderated by Ernest Mwebaze, Executive Director of Sunbird AI, Uganda, the panel feature the following speakers: Nokuthula Olorunju, Attorney and researcher, Research ICT Africa, South Africa; Dr. Adekemi Omutubora, Senior Lecturer, University of Lagos, Nigeria; Adedeji Adeniran, Director of Research, CSEA Nigeria; Caitlin Kraft-Bruchmann - CEO and Founder of Women at the Table.
-
NOlayinka Yusuf : AI for women in agriculture e - AI4WIAew video
See more ....In the context of worsening climate change that predisposes African farmers to the adverse effects of erratic weather due to their heavy reliance on rain-fed agriculture, the study seeks to propose an AI-based solution to address this threat, particularly as it affects women farmers who play a leading role in production and reproduction within rural households in Sub-Saharan Africa. Specifically, the study seeks to adopt existing AI-based solutions to climate-related problems, in particular the erratic weather conditions faced by women farmers, and to make evidence-based policy recommendations on how women farmers can be empowered to make the best use of appropriate and responsible AI-based solutions. The project will be extremely useful in building the capacity of women farmers as recognised drivers of the socio-economic status of rural households and will contribute to the achievement of the Sustainable Development Goals of promoting gender equality, eradicating poverty and ending hunger (Sustainable Development Goals 5, 1 and 2 respectively).
-
New vDr Moso:An AI-based model for analysing gender inequality in STEM programme and career projectionideo
See more ....In this captivating interview, Juliet Chebet Moso, Senior Lecturer at Dedan Kimathi University of Technology, takes us into the world of science, technology, engineering and mathematics in Kenya. She sheds light on the challenges facing women in these fields and the innovative solutions she proposes using artificial intelligence.
-
Understanding gender biases in building Automatic speech Recognition Models in the African Context
See more ....Machine learning technologies such as automatic speech recognition systems, linguistic models and machine translation systems are being developed to operate in environments where gender and other forms of prejudice and discrimination are present.
These biases are present in the datasets used to train the models and in the choices made about the machine learning models. The machine learning models developed end up reinforcing the biases built into the training data.
This research will focus on a data-driven research approach to conduct a scoping study on a deeper understanding of gender bias and inclusivity of artificial intelligence tools on the African continent. The results will be used to develop a framework and guidelines for mitigating gender bias in RSA systems through equity in data collection and model building.
Finally, this work will develop a model governance framework to address ethical and gender issues around the data and algorithms from which RSA systems are built.
-
Angella Ndaka: Digitisation for Mama Mboga in KenyaNew video
See more ....Angella Ndaka: Digitisation for Mama Mboga: does women's engagement and inclusion in AI Agri-tech matter? The experience of women in the informal agricultural sector in Kenya
Project objective: The project will identify and highlight the barriers to women's digital inclusion and examine ways of articulating women's perspectives in the development and application of agricultural AI systems, as well as in the associated policy processes.
-
New videoRebecca Ryakitimbo: Gendering AI: A perspective from Francophone and Anglophone East Africa
See more ....The project aims to study the integration of the gender dimension in AI in the countries identified within the East African community, namely Anglophone East Africa (Tanzania, Kenya and Uganda) and Francophone East Africa (Rwanda, Burundi and DRC).
-
NewBeakal Gizachew: Diversity and Gender Equity in the AI Ecosystem : A SLR of African languages video
See more ....This project aims to examine the current state of representation of African local languages in the global AI ecosystem, identify challenges and explore potential opportunities for AI in Africa.
Artificial intelligence has radically transformed the way businesses operate across all sectors, and natural language processing plays a crucial role in representing identity, observations and ideas, from high-level theories to the day-to-day functions of machines. Many digital organisations have successfully collected data in written, verbal and visual form. However, most local African languages do not have sufficient resources, which prevents Africans from taking advantage of the opportunities offered by AI. For Africa to participate in and benefit from the global AI ecosystem, policymakers need to take decisive action on human resource development, private sector involvement and the promotion of innovation. This study aims to examine the current state of representation of African local languages in the global AI ecosystem, identify challenges and explore potential opportunities for AI in Africa.
-
NeShamira Ahmed: Responsible AI for Gender Equality in Africa's circular Economyw video
See more ....The project aims to investigate the use of artificial intelligence to reduce food waste at different stages of the food supply chain in South Africa.
Project summary
Food waste is a systemic problem that occurs at every stage of the food supply chain, from the farm and the field to the plate. It is not only a problem of food insecurity, poverty and inequality in South Africa, but also exacerbates climate change, pollution and biodiversity loss. There are proposals that the deployment of data-driven systems, such as artificial intelligence (AI), can boost resource efficiency (RE) and support the transition to systems that minimise food waste at different points in the food supply chain. However, most of these proposals are only socio-technical imaginaries of the global North and do not illuminate the risks and harms of deploying data-driven technologies in the global South and/or in existing inequitable ecosystems that discriminate against women. Actively integrating an intersectional gender perspective, this case study will explore the use of AI to reduce food waste at different points in food supply chains in South Africa.
-
NeWalelign Tewabe : Multinlingual neural machine translation for low-resource languages with gender ..w video
See more ....Walelign Tewabe: Neural machine translation for low-resource languages with gender bias detection and mitigation English - Amharic -tigrigna ouomigna
The overall aim of the project is to develop a multilingual machine translation prototype capable of detecting and mitigating gender bias in low-resource languages.
Project summaryArtificial intelligence systems copy and reinforce existing social biases, a problem now widely recognised and studied. But current research into gender bias in natural language processing (NLP) suggests a solution.
Gender bias in AI applications such as machine translation (MT) is common and needs to be carefully considered when developing these applications.
In this project, we propose to develop an automatic translation prototype capable of detecting and mitigating gender bias. As the target languages, Amharic, Ge'ez and Awign, belong to the category of resource-limited languages, we will use transfer learning to take advantage of resource-rich languages such as English.
The project is relevant and topical in addressing the challenges of language barriers between different local communities, as well as the problem of gender bias in machine translation datasets.
Successful implementation of the project could address these challenges both inside and outside Ethiopia, particularly in sub-Saharan Africa.
-
Dr Taliha Folorunso: AI4WA - Artificial intelligence for women in aquaculture
See more ....Aquaculture plays an indispensable role in the livelihoods of the entire world population, from its various levels of production to its significant contributions to the economy. However, the aquaculture value chain is marked by a wide gender disparity, with women predominantly involved in post-harvest activities, which are generally less profitable. Men, on the other hand, tend to dominate fishing activities, which are generally more lucrative. The adoption of artificial intelligence techniques in aquaculture will ensure gender equity, diversity and integration, while minimising unintentional bias and providing many opportunities for women. The project will therefore focus on the assessment and analysis of applications of artificial intelligence techniques in aquaculture systems, and on the critical analysis of gender in the use of artificial intelligence in aquaculture systems, through extensive data collection, field studies, gap analysis and communication with stakeholders and policy makers in order to develop innovative recommendations.
-
NeLaunch of the GRAIN networkw video
See more ....After more than a year of setting up and structuring, the Grain network has been officially launched. The launch took place on Monday 20 November 2023, during a webinar organised on the Zoom platform.
-
New viGRAIN WORKSHOP KAMAPLA , UGANDAdeo
See more ....Highlights from the GRAIN Members Workshop, convened from April 16th to 18th, 2024 in Kampala, Uganda.
-
Virtual debate on ''How to get more women involved in STEM?
See more ....The virtual meeting will provide an opportunity to exchange views with network members and other stakeholders in STEM (Science, Technology, Engineering and Mathematics) on strategies and opportunities to promote women's involvement in STEM and to discuss ways to strengthen their inclusion and active participation.
Specifically, it will assess the educational and career opportunities in STEM fields for women in Africa; identify successful initiatives and programmes that have attracted women to STEM and understand the key factors of their success; explore the specific barriers and challenges that women face in their educational and career pathways in STEM; and formulate strategic recommendations for policy makers, business and civil society to support and encourage women to pursue careers in STEM.
FR 
EN 
