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The Conversation
The Conversation
Philippa Osim Inyang, Senior Researcher, Nigerian Institute of International Affairs

AI-driven border surveillance is spreading across west Africa. What this means for migrants’ rights

Digital surveillance at borders in Africa is at an all time high. Wikimedia Commons, CC BY

West Africa as a region has long had one of the most mobile populations in the world. Since 1979, the Economic Community of West African States (Ecowas) has allowed citizens of its member states to travel freely across borders without visas.

This freedom of movement has helped support regional trade, labour mobility and social ties. But a technological shift is changing how borders operate, with important implications for human rights.

Across west Africa, governments are introducing biometric identification systems, facial recognition cameras and artificial intelligence tools at airports and land borders.

As a researcher in international law, human rights and technology governance, I recently published a study on these developments. In it I argue that the growing use of AI-driven border surveillance risks undermining migrants’ rights. It is weakening data protection and placing pressure on the region’s commitment to free movement.

These systems promise to help governments combat terrorism, human trafficking and irregular migration. However, they also raise serious questions about privacy, discrimination and the future of free movement in the region.

The rise of ‘digital borders’

In the past, borders in west Africa were often lightly controlled. Many crossing points lacked sophisticated equipment. Regional mobility relied largely on trust and travel documents. This is rapidly changing.

In the past ten years, governments have turned to technology to strengthen border security and identification. They use surveillance tools like cameras and digital systems that monitor, track and record people’s movements.

Border posts are being upgraded with biometric scanners, centralised databases and automated border management systems. Nigeria, for example, now issues biometric passports. Residents have to register for national identification numbers that store fingerprints and facial data. Immigration authorities have also introduced biometric screening at major airports and land borders.

Artificial intelligence systems can analyse travel data and flag suspicious patterns. This helps authorities detect fraudulent documents or potential security threats. But these technologies also create “digital borders”: systems where access to a country depends not only on physical checkpoints but also on data stored in digital databases.

Europe’s influence on African border technology

The expansion of digital border systems in west Africa is not happening in isolation. European migration policy has played an important role. Over the past decade, the European Union has tried to control migration before migrants reach European territory. This strategy is often called “migration externalisation”. It involves funding border control initiatives in the countries that the migrants come from or travel through.

Through programmes such as the EU Emergency Trust Fund for Africa, European institutions have funded control systems across west Africa. These projects are often presented as development assistance to improve governance.

But they also serve another purpose. They help European governments identify and deport migrants who reach Europe by verifying their nationality using biometric data collected in their home countries. Critics argue that this shifts Europe’s border enforcement into Africa.

Nigeria and Niger show two different paths

The impact of these technologies can be seen clearly in two countries: Nigeria and Niger. In this study, I found that Nigeria has gradually introduced biometric and digital technologies into its immigration system. These tools help modernise border management, but they also raise concerns about how data is collected, stored and shared. Nigeria has adopted data protection laws to regulate personal information, but enforcement remains uneven. Migrants may have limited ability to challenge how their biometric data is used.

Niger presents a different story. For years, the country was a key transit point for migrants travelling through the Sahara towards north Africa and Europe. Under pressure from the European Union, Niger adopted strict anti-smuggling laws in 2015 and expanded surveillance of migration routes. But in 2023, after a military coup, the new government repealed those laws and distanced itself from European migration policies. The decision reopened migration routes.

Risks for privacy and migrants’ rights

AI tools can improve efficiency and strengthen border management, but they also introduce new risks. One major concern is privacy.

Biometric data, including fingerprints and facial scans, is highly sensitive. Once collected, it can be stored indefinitely and shared across multiple databases. Migrants have little information about how their data will be used or whether it might be shared with foreign governments.

Another concern is algorithmic discrimination. AI systems used in border control rely on historical data to identify patterns. If past enforcement targeted certain nationalities or ethnic groups, those biases can become embedded in automated decision-making systems. This may lead to some travellers being flagged for additional screening or denied entry.

Finally, digital border systems can weaken the Ecowas free movement regime if they are used to restrict mobility rather than facilitate it.

Why are regional rules needed?

West Africa already has legal frameworks that could help regulate these technologies.

The 1979 Ecowas Protocol on Free Movement guarantees the right of movement to citizens of member states. The African Charter on Human and Peoples’ Rights also protects freedom of movement and prohibits discrimination. But existing laws were written before the rise of artificial intelligence and biometric surveillance. Without updated regulations, governments may adopt powerful surveillance tools without adequate safeguards.

Ecowas has an opportunity to develop regional guidelines on AI and border governance. This could build on frameworks such as the African Union’s Continental Artificial Intelligence Strategy and the G20 AI Principles. These could include rules on data protection, transparency in algorithmic decision-making and independent oversight of surveillance systems. Similar safeguards are already being put in place elsewhere, like the European Union’s Artificial Intelligence Act.

Artificial intelligence is likely to play an increasing role in border management worldwide. The question is not whether west Africa will adopt these technologies, but how they will be governed. The region is well placed to develop a model centred on human rights.

The Conversation

Philippa Osim Inyang does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

This article was originally published on The Conversation. Read the original article.

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