AI4people − an ethical framework for a good AI society
The Ghana (Ga) perspective
Bibliographic Data
| ID | 8246146 |
|---|---|
| Authors | Laud Nii Attoh Ammah, Laud Ammah (corresponding author), Christoph Lütge (0000-0002-3870-4789), Alexander Kriebitz (0000-0001-7959-5980), Lavina Ramkissoon (0009-0006-4519-0073) |
| Year | 2024 |
| Volume | 22 |
| Issue | 4 |
| Pages | 453-465 |
| Publication date | 2024-11-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Information Communication and Ethics in Society (JOURNAL) |
| Journal identifiers | ISSN: 1758-8871 • E-ISSN: 1477-996X |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/jices-06-2024-0072 |
| OpenAlex | W4403308345 |
| Language | EN |
| References cited | 17 |
Purpose The introduction of artificial intelligence (AI) applications in the Global South brings tremendous potential for both good and harm. This paper aims to highlight the guiding ethical principles and normative frameworks for the ethical use of AI in the lens of the traditional Ga (a tribe in Ghana) philosophy and add to the academic literature and research on AI and ethics within the African context. Design/methodology/approach Literature overview on the African philosophy of Ga tradition as applied to AI and application of it to the AI4people ethical framework for a good AI society. Findings Existing principles in AI are based on and mostly influenced by western principles, which may give rise to biases in AI outcomes and design implications in Africa. The research finds a high degree of overlap in the AI4People ethical framework for a good AI society and the Ga philosophy. Research limitations/implications There are a few existing literatures on AI ethics in Africa and on Ga philosophy. Originality/value This research offers valuable contribution to the ongoing discourse of Africa’s adoption of AI and widens the debate on AI and ethics beyond the western ethical approaches
Economics · Engineering ethics · Management science · Perspective (graphical · Sociology · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Ethics and Social Impacts of AI · Neuroethics, Human Enhancement, Biomedical Innovations · Artificial Intelligence
A Unified Framework of Five Principles for AI in Society
Bias in computer systems
AI4People—An Ethical Framework for a Good AI Society
Applying a principle of explicability to AI research in Africa
Artificial Intelligence and Human Rights
The Sustainable Development Goals viewed through Gross National Happiness, Ubuntu, and Buen Vivir
African Urban Kinsmen
Fairer machine learning in the real world
Taxonomy and Form in Ga Ritual
| Highly cited | No |
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