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USE OF EMERGING TECHNOLOGIES IN DATA PROCESSING: LEGAL AND REGULATORY CONSIDERATIONS IN NIGERIA

BY ADERONKE ALEX-ADEDIPE AND PROMISE ITAH

Introduction

Businesses are increasingly adopting the use of Emerging Technologies to improve efficiency and decision-making. While these technologies offer clear commercial benefits, they also involve the processing of Personal Data and therefore raise important legal and regulatory considerations.

This newsletter outlines key legal and regulatory issues businesses should consider when using Emerging Technologies to process Personal Data in Nigeria.

  1. What Are Emerging Technologies?

Emerging Technologies are new or fast-developing digital tools that change how organisations collect, store, analyse, and use data. In the context of data processing, common examples include:

  1. Artificial intelligence (AI) and machine learning – systems that analyse data and make predictions or decisions, such as automated loan assessments or product recommendations.
  2. Cloud computing and software-as-a-service platforms – online systems used to store data or run business applications, including cloud-based email, payroll, or customer management tools.
  3. Biometric technologies – tools that use physical characteristics to identify people, such as fingerprint scanners or facial recognition systems.
  4. Internet of Things (IoT) devices – connected devices that collect data on an ongoing basis, including smart meters, CCTV systems, or vehicle tracking devices.
  5. Advanced data analytics and automated decision-making tools – technologies that analyse large data sets or make decisions with little human involvement, such as fraud detection or employee monitoring systems.

Inherently, the use of Emerging Technologies can increase privacy and data protection risks, including unauthorised access, misuse of data, or unfair outcomes for individuals.

  1. What are Key Legal and Regulatory Considerations?

In Nigeria, Personal Data processing is primarily regulated by the Nigeria Data Protection Act, 2023 (NDPA). The General Application and Implementation Directive (GAID) issued by the Nigeria Data Protection Commission (NDPC) provides additional guidance on how organisations should apply the law in practice, particularly with respect to the use of Emerging Technologies (Articles 43 and 44 of the GAID). In addition to the above, sector-specific rules may apply, particularly in regulated industries such as banking, telecommunications, healthcare, and fintech.

The following are some of the considerations when deploying Emerging Technologies in data processing:

a. Lawful Basis for Using Data

Businesses must have a valid legal basis for collecting and using Personal Data. Common lawful bases include consent, contractual necessity, and legal or regulatory obligations.

Emerging Technologies often make it easy to reuse data for new purposes, such as analytics, product development, or AI training. However, data collected for one purpose should not be used for a different purpose unless:

  • the new use is compatible with the original purpose, or
  • additional consent is obtained or a legal basis is justified.

Businesses should therefore clearly explain to data subjects how data collected will be used.

b. Automated Decision-making

Many Emerging Technologies rely on automated decision-making, for example in credit scoring, fraud detection, employee monitoring, or targeted advertising.

The law does not prohibit automated decisions, but it requires businesses to:

  • be transparent about how decisions are made,
  • ensure decisions are fair and not discriminatory, and
  • put safeguards in place where decisions significantly affect individuals.

The GAID specifically provides that such tools should be designed to respect data subject rights, including the right not to be subject to solely automated decisions, and to allow data subjects to exercise the right to be forgotten where feasible.

c. Assessment of Risks Before Deploying New Technologies

Where the use of technology may pose higher risks to individuals, businesses are expected to assess those risks in advance. This is commonly done through a Data Protection Impact Assessment (DPIA).

DPIAs are particularly relevant when using:

  • AI or machine learning systems,
  • biometric technologies such as facial recognition,
  • large-scale monitoring or profiling tools, or
  • new or untested technologies.

Conducting a DPIA helps identify potential risks early and mitigate against those risks prior to deployment. It also demonstrates responsible data governance. DPIAs should be carried out in controlled environments, with repeated adjustments if risks are identified, and the completed assessments filed with the NDPC as part of compliance audit report.

d. Management of Cloud and Cross-Border Data Transfers

Many technology solutions involve storing or processing data outside Nigeria, especially through cloud service providers.

Under the NDPA, a person or entity that determines the purposes and means of processing Personal Data ( a Data Controller), remains responsible for compliance even where third-party or foreign service providers are engaged for processing. Businesses should therefore:

  • understand the location where data is stored and accessed;
  • ensure appropriate safeguards are in place for cross-border transfers, and
  • include clear data protection obligations in vendor contracts.

e. Strong Security and Governance Measures

Emerging Technologies can increase cybersecurity and data breach risks. Businesses are expected to implement security measures that are appropriate to the nature of the data and the technology used.

This includes:

  • securing systems and networks,
  • carefully selecting and monitoring technology vendors,
  • clearly assigning data protection responsibilities, and
  • training staff on responsible data handling.

The GAID reinforces that the more complex, sensitive or high-risk the technology, the stronger the expected safeguards.

f. Plan for Regulatory Developments

Nigeria’s digital and data protection landscape continues to evolve, including ongoing discussions around AI and digital governance. Businesses should adopt a privacy-by-design approach, ensuring data protection considerations are built into technology decisions from the outset.

Conclusion

Emerging Technologies can deliver significant value to businesses, but they must be deployed responsibly. While the issues highlighted above are not exhaustive, organisations that understand and comply with applicable laws—including the NDPA, the GAID, and relevant sector-specific regulations—will be better positioned to manage legal risk, build trust, and innovate confidently within Nigeria’s growing digital economy.

ANALYSIS OF NIGERIA’s NATIONAL ARTIFICIAL INTELLIGENCE STRATEGY

By Seun Timi-Koleolu and Olawale Atanda

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Introduction

In August 2024, the Federal Ministry of Communications, Innovation and Digital Economy released the draft of Nigeria’s first National Artificial Intelligence Strategy (NAIS). The NAIS was co-created by the National Centre for Artificial Intelligence and Robotics (NCAIR) and the National Information Technology Development Agency (NITDA) with support from private bodies.

The unveiling of the NAIS is to position the country to harness AI’s potential responsibly and inclusively. The NAIS vision is clear: to establish Nigeria as a global leader in AI and to foster sustainable development through ethical innovation and collaborative efforts.

In a previous article, we explored the foundational aspects of AI and its legal and regulatory implications in Nigeria. The NAIS takes this a step further by outlining strategic pillars that will drive Nigeria’s AI development and ensure that these technologies are leveraged responsibly and effectively.

In this newsletter, we analyze the main aspects of the NAIS and its importance to the growth of the Nigerian technology ecosystem.

 

  1. Guiding Principles of the NAIS

The NAIS is guided by principles that emphasize responsible and ethical AI development to ensure that AI technologies are designed with societal impact in mind. These principles include, amongst others, a commitment to transparency, accountability, human-centric approaches, inclusivity and shared prosperity.

Another key principle is data ethics and agency. This involves strict adherence to principles of privacy, consent, fairness, and transparency in the collection, use, and sharing of data for AI applications. From a regulatory standpoint, this means enforcing robust privacy* protections and ensuring that individuals have the knowledge and tools to make informed decisions about their data. For businesses, it will mean integrating these ethical standards into their operations to build trust and compliance.

 

  1. Key Strategic Pillars of the NAIS

There are 5 key strategic pillars of the NAIS. These are addressed below.

i. Building Foundational AI Infrastructure

Nigeria’s ambition to lead in AI hinges on developing a solid infrastructure foundation and enhanced computing capacity. This pillar emphasizes investing in AI-specific hardware and software, particularly through domestic solutions to reduce reliance on foreign technology.

Additionally, the NAIS highlights the establishment of clean energy-powered AI clusters and offers tax breaks and incentives to encourage private sector investment in critical AI infrastructure, such as high-performance computing centers. These efforts aim to accelerate innovation, create jobs, and position Nigeria as a competitive player in the global AI arena.

ii. Building and Sustaining a World-Class AI Ecosystem

To achieve global leadership in AI, Nigeria aims to develop a robust and dynamic ecosystem of partners, academia, and a highly skilled workforce. This pillar focuses on fostering sustainable AI partnerships, championing international collaborations, and nurturing a culture of innovation.

Initiatives include the creation of platforms such as the Sustainable Applied AI Partnership Platform (SAAPP) to bring together diverse stakeholders for AI development, and the AI Synergy Alliance to facilitate global partnerships. Similarly, the NAIS aims to establish Deep Tech AI Accelerators and AI Centers of Excellence to drive innovation and commercialize AI solutions.

 iii. Accelerating AI Adoption and Sector Transformation

This pillar seeks to harness AI for real-world impact by driving widespread adoption across various sectors, transforming industries, and promoting economic growth in Nigeria. This pillar emphasizes locally-led AI innovation, data-driven decision-making, and the development of an AI-ready workforce. Key strategies here include launching sector-specific AI adoption roadmaps, implementing global data quality standards, and creating a National AI Research and Development Fund to support cutting-edge research. The pillar also focuses on ensuring AI contributes to environmental well-being through green and sustainable AI initiatives, such as establishing a Green AI Challenge and Grant Programme to foster AI solutions for climate change, resource management, and smart city development.

The 3 Million Technical Talent (3MTT) Programme by the Federal Ministry of Communications, Innovation & Digital Economy aligns with these efforts by focusing on building Nigeria’s future digital workforce. This program, which aims to train millions of Nigerians in tech and AI skills, complements the NAIS goal of building a skilled AI workforce and accelerating AI adoption across sectors.

iv. Ensuring Responsible and Ethical AI Development

Pillar 4 focuses on the need for Nigeria to develop and adopt AI within a responsible and ethical framework while recognizing the transformative power of AI and the inherent risks it poses. A key objective under this pillar is the establishment of a robust AI ethics framework. This involves creating a diverse AI Ethics Expert Group (AIEEG) to guide the development and implementation of ethical AI principles that align with Nigerian values. The framework will focus on fairness, transparency, accountability, privacy, and human well-being, supported by a comprehensive AI ethics assessment tool that evaluates the ethical implications of AI projects throughout their lifecycle.

Another critical objective is shaping a human-centered AI transition, which aims to anticipate and mitigate the societal disruptions AI might cause, such as job displacement and increased inequality. This will involve conducting foresight studies to map out potential challenges and opportunities, as well as implementing legislative reforms to adapt legal frameworks to the evolving nature of AI. These reforms will focus on protecting human rights, privacy, and ensuring equitable access to technology through initiatives like digital literacy programs and community technology hubs.

v. Developing a Robust AI Governance Framework

Pillar 5 emphasizes the need for clear and consistent governance principles to ensure the responsible and successful development of AI in Nigeria. A primary objective is to create well-defined National AI Principles that will guide aspects of AI development, deployment, and usage. Also, it will state Nigeria’s core values and for AI development, including the achievement of the Sustainable Development Goals (SDGs) through AI.

The pillar aims to establish an independent AI Governance Regulatory Body responsible for enforcing ethical standards, providing clear guidance, and mediating disputes related to AI. The pillar also includes the development of a National AI Policy Framework to outline governance guidelines and a National AI Risk Management Framework to identify, assess, and mitigate potential safety and security risks associated with AI systems.

 

Conclusion

This ambitious roadmap outlines a comprehensive vision for AI development across five key pillars –  each addressing critical areas essential for building a robust AI ecosystem. However, while the NAIS is thorough in its scope, it currently lacks an implementation framework detailing key timelines, milestones, and monitoring mechanisms. Also, the NAIS does not yet clarify the funding sources for the various projects it proposes. As this is still a draft, it is anticipated that these gaps will be addressed in the final version of the NAIS to ensure a more complete and actionable plan for Nigeria’s AI future.

 

Download the NAIS document here – https://ncair.nitda.gov.ng/wp-content/uploads/2024/08/National-AI-Strategy_01082024-copy.pdf

 

*For more on privacy and data protection, please see our articles on these here:

1.https://pavestoneslegal.com/tag/data-protection/

2.https://pavestoneslegal.com/tag/data-privacy/