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October 09, 2025
“AI depends on data, and data depends on trust”- African experts at Data Privacy Roundtable
The Africa Data Privacy Roundtable began in Lagos on Monday, October 6, with a clear message from organisers...
**"AI depends on data, and data depends on trust" - African experts at Data Privacy Roundtable**
LAGOS, Nigeria - The crucial link between data privacy, public trust, and the burgeoning field of Artificial Intelligence was the central theme as the Africa Data Privacy Roundtable commenced in Lagos on Monday, October 6. Organizers emphasized the fundamental principle that the success of AI hinges not just on technological advancement, but equally on the ethical collection, storage, and utilization of data.
The roundtable brought together leading African experts in technology, law, and policy to discuss the challenges and opportunities surrounding data privacy in the age of AI. A key takeaway from the opening sessions was the understanding that AI algorithms are only as good as the data they are trained on. If that data is biased, inaccurate, or obtained without proper consent, the resulting AI systems will perpetuate and amplify those flaws, potentially leading to unfair or discriminatory outcomes.
Participants highlighted the specific context of the African continent, where digital literacy and access to robust data protection frameworks are still developing. Building trust in data handling practices is therefore paramount to fostering the responsible growth of AI and preventing the exploitation of vulnerable populations. This trust, they argued, can only be achieved through transparent data collection policies, strong regulatory oversight, and empowered individuals who understand their data rights.
The discussions also touched upon the need for culturally relevant data governance models. Solutions developed in other parts of the world may not be directly applicable to the unique socio-economic realities of African nations. The roundtable aimed to explore innovative approaches that prioritize data privacy while simultaneously enabling the development of AI solutions that address pressing local challenges, such as healthcare access, agricultural productivity, and financial inclusion.
Over the course of the roundtable, attendees are expected to delve into specific topics such as data localization, cross-border data transfers, and the role of education in promoting data privacy awareness. The ultimate goal is to formulate concrete recommendations for policymakers and industry stakeholders to ensure that the development and deployment of AI in Africa is guided by principles of fairness, transparency, and respect for individual rights. The message is clear: without a foundation of trust built on sound data privacy practices, the promise of AI in Africa risks remaining unfulfilled.
LAGOS, Nigeria - The crucial link between data privacy, public trust, and the burgeoning field of Artificial Intelligence was the central theme as the Africa Data Privacy Roundtable commenced in Lagos on Monday, October 6. Organizers emphasized the fundamental principle that the success of AI hinges not just on technological advancement, but equally on the ethical collection, storage, and utilization of data.
The roundtable brought together leading African experts in technology, law, and policy to discuss the challenges and opportunities surrounding data privacy in the age of AI. A key takeaway from the opening sessions was the understanding that AI algorithms are only as good as the data they are trained on. If that data is biased, inaccurate, or obtained without proper consent, the resulting AI systems will perpetuate and amplify those flaws, potentially leading to unfair or discriminatory outcomes.
Participants highlighted the specific context of the African continent, where digital literacy and access to robust data protection frameworks are still developing. Building trust in data handling practices is therefore paramount to fostering the responsible growth of AI and preventing the exploitation of vulnerable populations. This trust, they argued, can only be achieved through transparent data collection policies, strong regulatory oversight, and empowered individuals who understand their data rights.
The discussions also touched upon the need for culturally relevant data governance models. Solutions developed in other parts of the world may not be directly applicable to the unique socio-economic realities of African nations. The roundtable aimed to explore innovative approaches that prioritize data privacy while simultaneously enabling the development of AI solutions that address pressing local challenges, such as healthcare access, agricultural productivity, and financial inclusion.
Over the course of the roundtable, attendees are expected to delve into specific topics such as data localization, cross-border data transfers, and the role of education in promoting data privacy awareness. The ultimate goal is to formulate concrete recommendations for policymakers and industry stakeholders to ensure that the development and deployment of AI in Africa is guided by principles of fairness, transparency, and respect for individual rights. The message is clear: without a foundation of trust built on sound data privacy practices, the promise of AI in Africa risks remaining unfulfilled.
Category:
Technology