Decolonizing AI: Academic Call for Indigenous Solutions to Address Security Insecurities in Africa and Beyond
Original framing: “Academics Seek Indigenous AI Solutions To Tackle Insecurity” — bing news
The history of AI development is marked by a legacy of colonialism and neocolonialism, with Western-centric systems being imposed upon non-Western cultures without their consent. This has led to the erasure of indigenous knowledge and cultural practices, and the marginalization of communities that have been impacted by these technologies.
The development of indigenous AI solutions requires a decolonizing approach that prioritizes the needs and values of communities and seeks to create technologies that are more effective and culturally sensitive.
This approach requires a multidisciplinary approach that combines scientific expertise with cultural knowledge and community engagement. By engaging with marginalized communities and their perspectives, we can create technologies that are more in tune with the cultural values and practices of these communities. The history of AI development is marked by a legacy of colonialism and neocolonialism, with Western-centric systems being imposed upon non-Western cultures without their consent. This has led to the erasure of indigenous knowledge and cultural practices, and the marginalization of communities that have been impacted by these technologies. By prioritizing community needs and values, we can create technologies that are more effective and culturally sensitive, and that prioritize the well-being of individuals and the environment.