Artificial intelligence was once the stuff of science fiction. But it’s becoming widespread. It is used in mobile phone technology and motor vehicles. It powers tools for agriculture and healthcare.
We need international and national policies and regulatory frameworks to ensure that these emerging technologies benefit humanity as a whole. In a recent paper, we argue that inclusivity and diversity also need to be at the level of identifying values and defining frameworks of what counts as ethical AI in the first place. This is especially pertinent when considering the growth of AI research and machine learning across the African continent.
Yet very few African voices have so far been involved in the international ethical frameworks that aim to guide the research. This might not be a problem if the principles and values in those frameworks have universal application. But it’s not clear that they do. Just like training data can entrench existing inequalities and injustices, so can failing to recognise the possibility of diverse sets of values that can vary across social, cultural and political contexts.
For example, mobile phone call records have been used to estimate population sizes before and after disasters. However, vulnerable populations are less likely to have access to mobile devices. So, this kind of approach could yield results that aren’t useful.
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