Artificial Intelligence in West Africa: GRAIN presents the findings of a comparative study aimed at more inclusive and accountable governance of AI

Artificial intelligence (AI) is emerging as a driving force for transformation in economies and societies, but West Africa faces a major challenge: establishing a governance framework capable of reconciling innovation, ethics, inclusion and sovereignty. It is around this strategic issue that the Gender and Responsible AI Network (GRAIN) has brought together researchers, public decision-makers, … Read more

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IPAR is taking part in two working groups on the development of the national strategy on Artificial Intelligence 

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Inclusive artificial intelligence in West Africa: where do we stand?

Key findings from the study on AI policies in West Africa By Dr Marame Cissé, Dioulli Kane and Ndeye Magatte KEBE Artificial intelligence (AI) is gradually transforming economies, public administrations and public services around the world. In West Africa, governments are stepping up initiatives to capitalise on this revolution … Read more

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IPAR is taking part in two working groups on the development of the national strategy on Artificial Intelligence 

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Webinar: Presentation of the Regional Report on Inclusive and Responsible Artificial Intelligence Policies in West Africa

As part of its ongoing activities, the Gender and Responsible AI Network (GRAIN) is organising a webinar to present the findings of its regional analytical report entitled: “Inclusive and Responsible Artificial Intelligence in West Africa: A Comparative Analysis of Policy, Legal and Institutional Frameworks in Senegal, Benin, Côte d’Ivoire and Burkina Faso.” The webinar will … Read more

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Artificial Intelligence and Online Violence: New GRAIN Study Reveals the Digital Literacy Paradox

As African countries continue to invest in digital transformation and the development of digital skills, a new publication from the Gender and Responsible Artificial Intelligence Network (GRAIN) challenges a widely held assumption: that greater digital literacy automatically protects women from online violence. Published in April 2026 under the title *The Digital Literacy Paradox: Understanding Technology-Facilitated Violence Against …* Read more

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Co-creating Responsible Artificial Intelligence Through a Gender-Transformative Approach

As part of Phase II of the GRAIN project, a Red-Teaming workshop on the GEDI (Gender Equality, Diversity and Inclusion) Framework was organised to assess and strengthen the framework developed for the Smart Indigenous Weather (SIWA) application by the innovators, namely YUX Design, Kwara State University, DIPPER Lab, and Pixol. Discussions centred on several key … Read more

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Assessment of Gender Bias in Machine Translation for Amharic, Tigrinya and Afaan Oromoo

Entitled “Gender Bias Evaluation in Machine Translation for Amharic, Tigrinya and Afaan Oromoo”, this study highlights the presence of gender bias in machine translation systems for three low-resource African languages: Amharic, Tigrinya and Afaan Oromoo. It shows that translation tools often assign stereotypical gender roles to professions, even when the source text is gender-neutral. Conducted … Read more

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French-speaking Africa, together with NIYEL, is launching its Framework for Ethical, Inclusive and Responsible AI

PRESS RELEASE Dakar and Geneva, 6 July 2026: Burkina Faso, Senegal, Côte d’Ivoire, Mali, Guinea and Benin can now congratulate themselves on having established their Guidelines for Ethical, Inclusive and Responsible Artificial Intelligence. In a global context where AI is transforming the way we … Read more

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GRAIN has selected Kwara State University and its AI4WIA 2.0 project to jointly develop a GEDI matrix for use in the agricultural calendar.

As part of Phase II of the GRAIN (Gender and Responsible Artificial Intelligence Network) project, KWASU has been selected to take part in the co-development of a GEDI (Gender – Equality – Diversity – Inclusion) matrix. This selection forms part of an initiative to support existing AI solutions with a view to integrating the principles of equality into them in a structured manner … Read more

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A systematic review of the literature on the assessment and mitigation of bias in automatic speech recognition models for low-resource African languages

Entitled «A systematic review of the literature on the assessment and mitigation of bias in automatic speech recognition models for low-resource African languages», this study highlights a major challenge for inclusive artificial intelligence: biases related to gender, accent, dialect and linguistic under-representation, … Read more

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GRAIN II Call for Proposals: EmpowerHerAI

Support for the scaling up of solutions that incorporate gender equality in the fields of agriculture, education and African languages. As part of the second phase of GRAIN (Gender and Responsible Artificial Intelligence Network), the «EmpowerHerAI» project, led by the consortium comprising IPAR, CSEA and Sunbird AI and funded by … Read more

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