Africa’s Position on China’s Global Initiative on AI Governance

There is no more denying the fact that Artificial Intelligence is reshaping the world in more ways than we could have possibly imagined. For example, AI could detect cancer much earlier and with increased accuracy. Moreover, it is projected that by deploying AI, businesses will save up to $8Billion annually by 2026. Nonetheless, in the midst of these impressive achievements are concerns that Africa must take note of. As a continent that is not playing a significant role in shaping the conversation on AI, albeit the conversation being ongoing, Africa must work with partners to ensure that inclusivity and representation are prioritized as early as in the Development of AI models. Unless this happens, we might wake up one day to realize we did not do enough and by then, it will be too late-as put in 2023 by OpenAI CEO, Sam Altman “If the technology goes wrong, it can go quite wrong.”

While this conversation takes shape, there are two prominent perspectives that standout in relation to Africa; 1) how the continent might or must reposition itself to benefit from the AI revolution on one hand, and 2) the need to build effective AI governance on the other. The World Bank drills deeper, talking about fostering equitable access to AI, and aligning the discussion around AI with sustainable Development Goals. Whereas both perspectives are essential, this essay contends that Africa must also work to ensure that inclusion and representation particularly in the development stages of AI are prioritized.

As we speak, the United States and China standout as de facto leaders in the global AI revolution. However, some commentators speculate that the competition between the two could follow the same trend as the cold war era arms race between the United states and the Soviet Union. To recap, this race resulted into unprecedented proliferation of nuclear weapons with the two great powers creating ever more destructive capabilities. On the contrary, many countries did not develop nuclear capabilities at the same pace or at all which made the nuclear threat even more profound. In the same way, the current trend in AI risks creating a similar scenario, especially in the absence of effective AI governance frameworks. For example, Trump era Secretary of Defense, Mark Esper once pointed out that, “…which ever nation harnesses AI will have a decisive advantage on the battlefield for many years.”  This goes to show how nations might deploy AI in the absence of such frameworks, ways that might jaundice efforts to build a peaceful, fairer and equitable world.

Experts who have been bold to express their concerns about AI have highlighted the emphasis placed on “AI for good” Vis-a-Vis Ethics of AI in the global conversation on Artificial Intelligence. In fact, it is easy to come to the consensus that, AI might not have a problem, but rather how we use it and where we use it. Moreover, one area often cited as a source of potential risk is, that of training data. The key concern here has been, most of these models have been implemented prior to the establishment of any frameworks for AI governance. Thus the question becomes what is the quality of training data used? And how well is Africa represented in these datasets?  With almost all of the training datasets coming from the global north, there is a significant risk of reinforcing existing stereotypes, and power dynamics which have for a long time held Africa at a disadvantage. Moreover, in an age where nearly 60% of online content is produced by AI, subsequent improvement of AI capabilities could only exacerbate this dynamic since it is based on already biased input.

The risk of accelerated bias: Different Tech enthusiasts and experts have on numerous occasions highlighted the possibility of AI creating abundance on the bright side. Nonetheless, there have been warnings from others, regarding the risk of accelerated bias, particularly in cases where the initial training data was prejudiced or not representative. Thus, the Cinderella issue in the AI conversation is that of representation, and quality of training data. Indeed, algorithmic biases directly affect both fairness and trust, jeopardizing any benefits presented by AI. Given the historical injustices and cultural sensitivities on one hand, and the bulk of training data coming from the global north on the other, AI models could aid in perpetuating historical injustices, stereotypes, thus undermining uptake and subsequent access to the benefits of AI technology on the continent. This is one particular reason why Africa needs to rise to the occasion and play its due role in this conversation.

As China and Africa made renewed commitments to jointly building an all-weather China Africa Community with a shared future for the new era, both partners agreed to work together in order to seize the historic opportunity of the new round of technological revolution. This commitment made at the 2024 FoCAC summit in Beijing aligns well with the need to address the inclusion and representation in the development of AI. The effort will seek to foster an inclusive, fair, just and nondiscriminatory environment for the development of science and technology. More so, in the first steps, Africa overwhelmingly welcomed China’s Global Initiatives on; AI governance and Data security. The initiatives are a step in the right direction in as far as promoting the rights of Africa in the global governance of AI are concerned. Therefore, working with China, Africa can enhance not just its role but also representation in novel AI models; from Large Language Models to Generative AI Models and everything in between.

In conclusion, as the universal application of Artificial Intelligence is cascading around the world, Africa can position itself to reap the enormous benefits presented by this revolution. Faced with an absence of AI governance frameworks in most countries, and the risk of accelerated biases, Africa must harness positive partnerships in order to counteract the perpetuation of old stereotypes, injustices, underrepresentation while enhancing fairness and inclusion as inroads to the positive benefits of Artificial Intelligence. In addition, the partnership with  China could be a strong advocacy voice for responsible and ethical AI in order to minimize associated security threats and the concentration of power thus buttressing global order and peace in the age of AI.

The author is a research fellow at the Development Watch Centre.

 

Harness China-Africa Collaboration on Artificial Intelligence

Current economic estimations project the value of the Artificial Intelligence (AI) industry globally to reach $16 trillion by 2030. It is also approximated that AI, if well harnessed, could grow Africa’s economy by an additional $1.5 trillion. Given that as of June 2024, the estimated nominal GDP of Africa is $3.1 trillion, a 1.5 addition would go a long way in improving our economic standing.

That said, it brings me great sadness to often discuss Africa along the lines of “seeking help” or as diplomatically coined, “partnering” with developed countries to pursue the continent’s development goals. But given our several immense development challenges, and the nature of the world’s current scientific and technological areas of innovation, partnerships seem to be the most realistic means available.

Even then, we should evaluate our continent’s contribution to this new frontier of technological possibilities, which will dramatically alter the course of all human endeavor.

When discussing strategic partnerships for Africa, the competition between the West (United States) and China unpreventably shows up. It is not Africa’s making to be in such a position. Still, it is our call to always choose wisely which partners we embrace to negotiate our development journey, particularly in line with AI development and implementation on the continent.

Several American tech giants have already implemented AI-driven projects in Africa. For instance, IBM has set up research labs in Kenya and South Africa directed towards healthcare diagnostics, precision agriculture, and financial services. Google opened an AI research center in Ghana where among other projects they develop and apply natural language processing (NLP) technologies to understand, interpret, and generate human language specific to Africa’s linguistic diversity. Cisco, which has a center in Nigeria, also initiated AI training programs to develop smart city solutions using AI technologies.

However, the West’s investments in Africa usually do not give African countries the confidence required for long-term, sustainable reliance. Even the countries of choice for these investments already show a bias in investment destinations for American capital. It will be hard for Africa to transform if our leadership systems are under constant questioning and screening for legitimacy – which risks cutting the taps of investment cooperation whenever a country’s democratic credentials don’t appeal to our Western partners’ standards. This is why I have limited faith in these ambitious AI projects by the West in those few African countries.

On the other hand, during this year’s China-Africa internet summit, China and Africa enthusiastically discussed collaboration on AI. Following the event, the Cyberspace Administration of China (CAC) released a statement on China-Africa artificial intelligence cooperation calling for: strengthening of dialogue and cooperation mechanisms on AI policy, technology, industry, application, governance, and best practices; promoting technological research, development, and application within Chinese and African enterprises, universities, and scientific research institutions, in fields such as big data analysis, machine learning, natural language processing, and computer vision; promoting industrial cooperation, development, and application of AI in, among others, agriculture, medical care, education, and urban management, as well as supporting digital infrastructure; carrying out talent exchange and capacity building, including the provision of online courses and professional training; and building strong network and data security barriers, including the development of auditable, supervised, traceable, and trustworthy AI technologies, as well as preventing abuse of AI and cyberattacks. These are very inspiring areas of collaboration for Africa, where development in AI is still nascent.

The disappointing bit is that whereas China already articulated such a brilliant memo on AI cooperation with Africa, neither a single African country nor the African Union has designed a similar policy. It is an unpromising sign. China has published its policy on how to cooperate with us on AI, but we don’t have a policy on how we shall cooperate with it. Why should we be docile partners on matters involving our development interests and ultimate survival? Are we always going to sleepwalk through history?

It is not hard to realise that the integration of AI in Africa will potentially impact diverse sectors as already highlighted. Why is it that only a handful of countries such as Egypt, Rwanda and Mauritius have adopted national AI strategies? What is Uganda’s AI strategy for instance?

Our governments should develop these strategies if we are to enable African innovators to leverage Chinese expertise in developing AI-driven solutions for our development challenges. China is the world’s leading AI innovator with 61.1% of globally registered AI patents while the U.S. accounts for only 20%. Why are we not utilising our partnership with a forerunner like China to participate in the happening AI revolution?

The author is a research fellow at the Development Watch Centre.