KI in Afrika: Zentrale Fragestellungen und politische Erwägungen für die Zukunft des Kontinents

The document examines the role of Africa in the global AI supply chain and the risks posed by the dominance of foreign AI firms, particularly from China and the Global North. It highlights specific harms including predatory financial offers via digital IDs in South Africa, human rights violations through facial recognition in Uganda and South Africa, and exploitative 'click work' in Kenyan refugee camps. The brief reviews emerging national AI strategies in Mauritius, Egypt, and Rwanda, and the SMARTAfrica 'Blueprint on Artificial Intelligence for Africa'. It argues that while EU frameworks like the AI Act and GDPR provide some guidance on human rights, they often fail to address African socio-economic realities, such as the gender digital divide and infrastructure deficits. The author recommends that African governments focus on building sustainable local AI ecosystems, enhancing regional data cooperation via the AfCFTA, and ensuring the economic participation of local communities.

• Africa is integral to the global AI supply chain, providing natural resources, labor, and skills, yet the economic benefits primarily accrue to Big Tech companies in China and the Global North.
• The deployment of AI-driven digital identification systems has led to severe ethical breaches, such as in South Africa where the company Net1 used data from 18 million social grant beneficiaries to issue predatory loans and deduct repayments directly from grants.
• Facial recognition technology developed outside Africa often fails to accurately identify African faces and has been used for political repression, such as by Huawei in Uganda to track and arrest opposition supporters during the 2020 elections.
• The global AI economy relies on precarious 'click work' performed by vulnerable populations, including refugees in the Dadaab camp in Kenya, who are often exposed to disturbing content for minimal pay without labor protections.
• China is the primary exporter of AI technologies to Africa, largely through the Belt-and-Road Initiative and the Digital Silk Road, with 40 of 54 African states having signed Belt-and-Road agreements as of May 2021.
• While Mauritius, Egypt, and Rwanda have launched national AI strategies, these documents often overlook the precarious labor conditions of the gig economy and the potential for AI to undermine democratic processes through fake news or censorship.
• The EU's GDPR and AI Act are insufficient for the African context because they prioritize individual first-generation rights over socio-economic rights and may create technical or financial barriers for local African start-ups.

APA

Adams, R. (2022). KI in Afrika: Zentrale Fragestellungen und politische Erwägungen für die Zukunft des Kontinents. Africa Policy Research Institute. https://afripoli.org/de/ki-in-afrika-zentrale-fragestellungen-und-politische-erwagungen-fur-die-zukunft-des-kontinents

Chicago

Adams, Rachel. KI in Afrika: Zentrale Fragestellungen und politische Erwägungen für die Zukunft des Kontinents. Africa Policy Research Institute, 2022. https://afripoli.org/de/ki-in-afrika-zentrale-fragestellungen-und-politische-erwagungen-fur-die-zukunft-des-kontinents.

Wikipedia

{{cite report |last1=Adams |first1=Rachel |title=KI in Afrika: Zentrale Fragestellungen und politische Erwägungen für die Zukunft des Kontinents |publisher=Africa Policy Research Institute |date=30 May 2022 |url=https://afripoli.org/de/ki-in-afrika-zentrale-fragestellungen-und-politische-erwagungen-fur-die-zukunft-des-kontinents |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{adams2022afrika, author = {Adams, Rachel}, title = {{KI in Afrika: Zentrale Fragestellungen und politische Erwägungen für die Zukunft des Kontinents}}, institution = {Africa Policy Research Institute}, year = {2022}, month = may, url = {https://afripoli.org/de/ki-in-afrika-zentrale-fragestellungen-und-politische-erwagungen-fur-die-zukunft-des-kontinents}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }