The Pan-African Parliament (PAP),
with support from the African Population and Health Research Center (APHRC),
convened a transformative two-day training workshop on Artificial
Intelligence (AI) Governance at its precincts in Midrand, South Africa on
September 27 and 28. The workshop marked a major step in building the
legislative capacity of African parliamentarians to shape responsible and
inclusive AI policies.
The programme, livestreamed in
multiple languages on the Pan-African Parliament’s YouTube channel, focused on AI
Policy and Legislation, AI Regulation in Practice, and AI in Parliaments.
Global and Comparative Insights
International expertise enriched the
training, with presentations by:
- Andy Richardson,
Programme Manager, Parliamentary Standards, International Parliamentary
Union (IPU)
- Andy Williamson,
Senior Researcher, Centre for Innovation in Parliament, IPU
- Hon. Brando Benifei,
Member of the European Parliament & Co-Chair of the AI Act Working
Group
- Dr. Agnes Najjuko Kasirye Kiragga, Head of Data Science Programmes, APHRC
Their contributions underscored
inter-parliamentary collaboration as a cornerstone of shaping effective AI
governance. Insights from Europe and the IPU offered comparative lessons for
Africa, reinforcing PAP’s leadership role in advancing the continent’s voice in
global digital policy.
African Leadership and Ownership in
AI
In a powerful intervention, Dr.
Anthony Francis Mveyange, APHRC’s Director of Programmes, urged
parliamentarians to seize Africa’s moment to lead in AI:
- On capacity:
Africa already has the skills and expertise to build data systems and AI
platforms. The challenge lies in directing resources to strengthen local
infrastructure instead of outsourcing.
- On disruption:
Echoing Schumpeter’s “creative destruction,” he argued that AI disruption
can be turned into opportunity if governments invest in upskilling
citizens.
- On sovereignty:
He warned against “helicopter research” and dependence on foreign systems,
citing USAID’s health data case as a wake-up call. Data must be treated as
a matter of national security.
- On education:
Africa must decolonize education systems to reflect local contexts and
stem brain drain by enabling young innovators.
- On global positioning:
He cautioned, “America has a strategy for Africa, Europe has a strategy
for Africa, China has a strategy for Africa; but Africa does not yet have
a clear strategy for them.”
- On parliamentary leadership: He challenged PAP to push Member States to adopt
actionable AI strategies, invest in R&D, and position Africa as a creator,
not a passive consumer, of AI.
“No one will come to save Africa if
we don’t act. We have the power, the knowledge, and the people. Now we must
summon the political will to make AI serve Africa’s future.” – Dr. Mveyange
Parliamentarians’ Reflections
PAP Members of Parliament
highlighted both the transformational opportunities and serious risks
of AI for Africa’s democracy and development. Key takeaways included:
- Mapping AI risks to reform digital codes and strengthen
governance.
- Urgent calls for data sovereignty to protect
African datasets from foreign control.
- Recognizing AI’s potential to safeguard democracy by
combating misinformation, deepfakes, and electoral manipulation.
- Bridging infrastructure and capacity gaps through regional
cooperation and investment in local data centres.
- Integrating research, law, and policy to ensure AI
remains ethical, inclusive, and sovereign.
- Fast-tracking the ratification of the Malabo
Convention on data protection.
AI in Public Policy and Data
Governance
Mr. Henry Owoko (APHRC) and Mr. Daniel Mwanga (APHRC) highlighted AI’s
potential in governance:
- Citizen engagement:
Faster, data-driven feedback loops between leaders and communities.
- Monitoring and evaluation: Real-time solutions for crises like COVID-19.
- Public service delivery: More efficiency, though with employment and ethical
trade-offs.
- Policy design:
Tools such as PolicyLens AI to support legislators with evidence-based
insights.
Mwanga stressed that data governance
is Africa’s “next frontier”, urging rapid ratification of continental
frameworks and strong protections against misuse.
Building Research and Innovation
Capacity
Dr. Flora Katanu (APHRC) emphasized multi-level capacity building:
- Training individuals, institutions, and regional
bodies.
- Tackling weak linkages between universities,
policymakers, and development actors.
- Expanding AI-enabled tools such as APHRC’s Virtual
Academy for multilingual training and research support.
She warned against siloed research,
calling for shared data repositories to strengthen Africa’s
self-sufficiency and avoid duplication.
APHRC’s Role in Transforming
Africa’s Future
Dr. Agnes Kiragga showcased AI-driven projects in mental health, climate
resilience, and healthcare decision-making, alongside cross-border initiatives
like Data Science Without Borders.
She projected that AI could raise
Africa’s GDP by $2.9 trillion, provided six pillars are prioritized: data,
talent, infrastructure, governance, use cases, and investment.
“AI is inevitable, like the
internet; it will shape our societies whether we act or not. Africa must move
from consumer to creator.” – Dr. Kiragga
The Road Ahead
The workshop concluded with MPs’
reflections and the unveiling of a Roadmap for an Annual Parliamentary
Digital Summit, anchored on the Lusaka Declaration. Certificates of
completion were awarded to participating MPs, affirming PAP’s commitment to
continuous learning in the digital age.
Dr. Anthony Francis Mveyange closed with a call to action: “Data governance is the
key to Africa’s digital future. The Pan-African Parliament can ensure Africa’s
data works for Africans—building sovereignty, inclusion, and trust in the age
of AI.”
Conclusion
This landmark workshop represents
more than training; it is the beginning of Africa’s parliamentary journey to
shape its own AI future. Through collaboration, capacity-building, and a united
legislative voice, PAP is positioning Africa not as a bystander but as a global
leader in responsible and inclusive AI governance.
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