Fair-AIEd: Participatory design approaches to creating ethical AI for international education and development

The Fair-AIEd project is concerned with examining the impact of P3 (Public Private Partnership) initiatives on the use of AI in education in two African contexts (Ghana and South Africa) as examples of emerging market economies. As well as the implications that AI systems might have for teaching and learning, the project will investigate potential benefits, harms, and risks associated with the leadership roles that corporations play in design and use of AI within the educational practices of developing nations.

Potential impacts will be explored using ethnographic case-studies. Informed by data obtained in the field, stakeholders from industry, government, academia, and civic groups will co-design and build on existing impact assessments to develop an Algorithmic Impact Assessment tool that can be responsive to diverse populations. Using fair-ML as a point of reference, the framework will identify key cross-cultural values and social issues against which the implications of AI in education can be identified and evaluated. Design of the tool will incorporate a local adjustment resource to accommodate cultural, religious, or other sources of value differences that emerge from field work.