Expert-Speak: Standards For AI Governance Are Necessary For Africa’s Flourishing Future

Published 2 days ago
Tshilidzi Marwala- The writer is a United Nations University (UNU) Rector and UN Under-Secretary-General based in Tokyo
AI (Artificial Intelligence) concept. Electronic circuit. Communication network.

Artificial intelligence (AI) holds transformative potential for Africa, but harnessing it responsibly is crucial. As AI increasingly integrates into various sectors, standards for robust governance frameworks are essential to ensure its ethical and beneficial use for all Africans. The United Nations University (UNU), recognizing both the potential and the perils of AI, is actively contributing to shaping a future where AI serves as a force for good across the continent.

While AI has the potential to revolutionize sectors such as agriculture, healthcare, and education, Africa’s unique challenges— ranging from digital divides to diverse cultural landscapes — demand tailored governance. Developing Africa-centric AI standards rooted in universal principles adapted to local contexts is imperative to address these challenges. This approach aligns with the South African Bureau of

Standards (SABS), which emphasizes the importance of context-specific standards that address regional needs while maintaining global relevance.

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Several core principles should guide the development of standards for the ethical AI ecosystem. First, AI systems must be designed with human rights and dignity as their foundation. This principle is reflected in the work of entities such as the

Institute of Electrical and Electronics Engineers (IEEE), which has developed global standards for AI ethics that emphasize fairness, accountability, and transparency. Additionally, AI systems should respect Africa’s rich cultural and linguistic diversity, ensuring inclusivity and accessibility for all.

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Second, explainable AI is crucial for building trust, particularly in sectors where AI decisions have far-reaching consequences.

Africa should emphasize transparency aligned with global standards such as those developed by the International Organization for Standardization (ISO), which advocates for clear documentation and accessible information about AI systems and their decision- making processes. Furthermore, lessons from the National Institute of Standards and Technology (NIST) highlight the importance of developing explainable AI models that non-experts can understand, ensuring transparency at all levels of society.

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Third, establishing clear responsibility for AI outcomes is essential. The International Telecommunication Union (ITU) plays a significant role in this, providing guidelines that stress the importance of accountability in AI governance. UNU’s work on AI governance frameworks underscores the necessity for clear lines of accountability and mechanisms to address any adverse consequences of AI deployment.

The International Electrotechnical Commission (IEC) also offers valuable insights into safety standards and risk management, ensuring that AI systems operate reliably and are held accountable for their outcomes.

Fourth, AI’s benefits must be shared widely, bridging digital divides and preventing technology from exacerbating existing inequalities. This principle is closely aligned with the objectives of standards bodies such as SABS, which advocate for equitable access to AI technologies. The European Union’s AI Act ensures that AI deployment is inclusive, promoting social justice and protecting vulnerable populations.

Fifth, African nations must collaborate to harmonize regulations and share best practices, maximizing AI’s positive impact. UNU’s initiatives in fostering regional cooperation on AI are crucial in promoting such collaboration, ensuring that the benefits of AI are widely shared and that shared values and goals shape the continent’s AI landscape. Drawing lessons from the European Union’s collaborative approach to AI governance, Africa can benefit from a unified strategy that leverages regional strengths while ensuring alignment with global best practices.

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Africa’s AI governance must be guided by robust frameworks that consider continental and global perspectives. The African Digital Compact (ADC) and the Continental Artificial Intelligence Strategy (CAIS), recently adopted by the African Union, are pivotal. These initiatives aim to create a cohesive and inclusive digital environment across Africa, ensuring that AI development and deployment align with the continent’s unique needs and aspirations. These frameworks help harmonize AI policies across African nations by setting clear standards and guidelines, fostering regional

cooperation and innovation. The ADC and the CAIS must be aligned with the Global Digital Compact (GDC) and High-Level Advisory Body on AI. The GDC emphasizes the importance of a human-centered approach to digital transformation, advocating for policies prioritizing equity, inclusivity, and sustainability.

The UN High-Level Advisory Body on AI provides strategic guidance on AI-related challenges and opportunities, ensuring that global AI standards are informed by diverse perspectives, including those from Africa. These frameworks collectively support the development of AI governance standards aligned with Africa’s specific context and resonating with global principles. By integrating insights from initiatives like the ADC and the GDC, African nations can ensure their AI policies are locally relevant and globally connected.

In conclusion, Africa stands on the cusp of an AI revolution. By prioritizing robust and ethical governance and leveraging the expertise of institutions like the UNU, the continent can harness this technology to drive sustainable development, reduce inequality, and create a brighter future for all. As AI continues to evolve, ongoing research, collaboration, and adherence to standards will be essential to ensure that this powerful tool truly benefits all African

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