AI and Gender

We are studying the development of AI tools and applications on the African continent. A specific focus of this work is characterizing the extent to which gender is considered during such development. We are also interested in characterizing biases in AI products and projects in Africa, and determining whether such biases involve gender in ways that are similar to AI developed outside the continent.

Although still a niche area of ICT in Africa, AI has significant potential for influencing may aspects of African cultures and economies.
Such influence includes NGOs using AI to predict migration and natural disasters, governments using AI to process national datasets and improve service delivery, and companies using AI to predict market trends.

By researching AI tools, products, trends, and impacts, we seek to contribute to the conversations that will help to positively steer the impact of AI. In particular, we aim to ensure that gender issues are significantly and continuously addressed as AI becomes more widely adopted.

We are also part of the Alliance for Inclusive Algorithms.

MAPPING POLICY AND CAPACITY FOR ARTIFICIAL INTELLIGENCE FOR DEVELOPMENT IN AFRICA

PERIOD: 2020-2021

PARTNER: INTERNATIONAL DEVELOPMENT RESEARCH CENTRE (IDRC)

ABOUT THE PROJECT

The objective of this project is to improve understanding of the Artificial Intelligence (AI) policy and capacity in Africa to support responsible AI for development. The specific objectives are:

i)Deepen understanding of the innovation, policy, and capacities ecosystem with respect to the use of AI to mitigate or adapt to climate change in Africa;

ii)Explore the nature of gender bias in AI systems made in Africa; and

iii) Better understand the law and policy landscape as pertains to AI and development.

The AI4D Network

The diversity of the African continent demands a diversity of representation within the AI4D Network. The founding partner organizations, RIA and CIPIT, with support from IDRC, intend to rapidly engage with stakeholders across the continent (and beyond the continent) to ensure suitable participation for an effective network.