During the Pan-African Parliament’s (PAP) Workshop on
Artificial Intelligence (AI) Governance, Members of Parliament engaged in a
robust exchange with Dr. Agnes Najjuko Kasirye Kiragga and Dr.
Anthony Francis Mveyange, raising pointed questions on data ownership,
digital infrastructure, talent development, and the socio-economic implications
of AI. Their interventions revealed both urgency and determination to ensure
that Africa transitions from being a passive consumer of technology to becoming
a creator, regulator, and protector of its digital future.
AI for Policy and
Governance
Lawmakers emphasized that AI could transform
legislative practice by helping parliamentarians analyze complex laws
more quickly and effectively, citing Botswana’s cybersecurity
legislation as an example where AI tools could have provided timely,
data-driven insights.
MPs pressed for national AI strategies to move
beyond paper to practice, insisting that adoption and evaluation
frameworks must be established to guide safe and responsible AI across the
continent. They called for model laws on AI governance, to be
developed and harmonized efficiently across African states, with clear timelines
for implementation and structured involvement of the Pan-African
Parliament in policy frameworks.
Data Ownership and
Sovereignty
Data sovereignty dominated the debate. MPs asked
bluntly: “Who controls Africa’s data?” They raised concerns
about foreign access to strategic datasets, such as cocoa production data from
Côte d’Ivoire and Ghana, and warned that without local control, Africa risks
becoming “data-rich but power-poor.”
Members demanded stronger protection of sensitive
national data while ensuring development-oriented sharing mechanisms.
They also questioned how Africa’s over 2,000 languages could
be integrated into AI systems to prevent cultural and linguistic
marginalization.
The push for universal standards for data protection
versus country-specific systems sparked discussion on how to balance cybersecurity
with flexibility, and how to safeguard data sovereignty while enabling
innovation.
Digital Infrastructure
and Connectivity
The digital divide was identified as a
major barrier to AI adoption. MPs highlighted connectivity gaps, particularly
between urban and rural areas in countries such as Senegal, and asked how unconnected
populations can be brought online to participate in an AI-driven
economy.
They urged investment in data centers beyond
the usual hubs - South Africa, Kenya, Nigeria, Egypt, Mauritius, Angola,
Ghana, Morocco, and Senegal so that smaller and less connected states can also
become active players. Legislators also inquired about country-specific
infrastructure needs, particularly in Kenya, Zambia, and North Africa,
to support AI readiness.
Talent and Capacity
Building
Recognizing Africa’s youth bulge as both a
strength and a challenge, MPs sought practical measures to ensure
young Africans are not just consumers but also creators of AI tools.
They called for integrating AI into higher education curricula,
expanding training in digital literacy, and scaling support for startups
and innovators across the continent.
Such efforts, they argued, are critical for Africa to
develop a robust pipeline of AI talent capable of shaping homegrown solutions.
Economic and Social
Concerns
Parliamentarians underscored the risk of a “two-speed
transformation” in Africa’s AI adoption, given high illiteracy rates
and uneven capacity. They raised questions on how AI could help reduce
historical inequalities, citing Ethiopia’s food security challenges
as an example where AI tools could improve agricultural productivity and
resilience.
MPs also expressed concern about the impact of
automation such as robots in service sectors, on employment prospects
for Africa’s youth and women. They sought clarity on how AI could help Africa produce
more food locally, reduce dependency on aid, and foster inclusive
growth.
Legal, Ethical, and
Research Implications
The ethical dimensions of AI drew sharp focus. MPs
questioned how Africa can guard against AI “hallucinations” in
legal or academic research, and how to curb risks of misinformation,
bias, and manipulation in digital spaces.
They insisted that AI governance frameworks must strike
a balance between innovation and citizen protection, ensuring
respect for human rights, cultural diversity, and digital sovereignty. AI, they
argued, must enhance Africa’s competitiveness without compromising its values.
Cross-Border and
Continental Cooperation
Finally, legislators pressed for a continental
approach to AI governance, one that harmonizes national strategies
with PAP’s oversight role, integrates civil society and regional institutions,
and ensures shared ownership of Africa’s digital future.
They stressed that Africa must not be content with
importing AI technologies but should instead master, manage, and
innovate AI for local benefit. A harmonized framework, they argued, is
essential for achieving economies of scale, avoiding fragmented approaches, and
asserting Africa’s collective voice in global AI governance.
Conclusion
The PAP workshop revealed that African parliamentarians
are not only alert to the promises and perils of AI but are also determined to shape
Africa’s AI trajectory deliberately and responsibly. Their
interventions highlighted the urgent need for clear policies, stronger
infrastructure, protected data, investment in youth, and continental
collaboration.
By asking hard questions and demanding actionable
roadmaps, PAP MPs signaled that Africa’s parliaments are ready to take the lead
in ensuring that AI becomes a driver of inclusion, sovereignty, and
sustainable development, aligned with the aspirations of Agenda
2063 – The Africa We Want.
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