Modernizing Nigerian Elections: Lessons from the UK’s AI and Cybersecurity Strategies

In recent years, the United Kingdom’s election process has garnered praise for its efficiency and transparency, with results typically declared within 24 hours of the polls closing. This starkly contrasts with the often delayed and contentious election outcomes in Nigeria. For the Independent National Electoral Commission (INEC) in Nigeria, the UK’s model offers valuable insights into leveraging technology, particularly Artificial Intelligence (AI) and robust cybersecurity measures, to streamline and secure the election process.

Learning from the UK’s Efficiency

The UK’s election system is underpinned by meticulous planning, robust logistical frameworks, and advanced technology. Key features include centralized and decentralized counting, a digital infrastructure for voter registration and verification, and high levels of transparency with real-time public access to results.

Enhancing Voter Registration and Verification

In Nigeria, the integrity of the electoral roll is often compromised by duplicate registrations and ineligible voters. AI can significantly improve the accuracy and efficiency of voter registration and verification processes.

Facial Recognition: AI-driven facial recognition technology can ensure each voter is registered only once, mitigating multiple registrations.
Natural Language Processing (NLP): AI can analyze and verify voter details, ensuring legitimacy and accuracy. Estonia’s AI-enhanced electronic ID system exemplifies how such technologies can reduce fraud.

Streamlining Voting and Counting Processes

AI can expedite voting and counting, enhancing speed and accuracy.

Automated Ballot Counting: Machine learning algorithms can automate ballot counting, reducing human error.
Predictive Analytics: AI can forecast voter turnout and potential issues, allowing for proactive management.

Strengthening Cybersecurity

Cybersecurity is critical in protecting the integrity of the election process from cyber attacks.

Threat Detection: AI can monitor network traffic in real-time, detecting and responding to cyber threats.
Data Encryption: Advanced encryption ensures voter data and election results are tamper-proof.

Ensuring Transparent Results Management

Transparency in results collation is essential for maintaining public trust.

Blockchain Technology: Combining blockchain with AI can create a transparent, immutable ledger of votes.
Real-Time Reporting: AI can automate results collation and provide real-time updates, enhancing transparency.

Strategic Recommendations for Nigeria

To effectively implement AI and cybersecurity solutions, INEC should:

1. Invest in Technology Infrastructure: Upgrade systems and invest in new technologies.
2. Training and Capacity Building: Train INEC staff in managing and operating new technologies.
3. Collaborate with Tech Experts: Partner with technology companies and cybersecurity experts.
4. Public Awareness Campaigns: Educate the public on the benefits of new technologies.
5. Pilot Programs: Test AI and cybersecurity solutions in select regions before nationwide rollout. Conclusion

The UK’s 2024 election process provides a blueprint for Nigeria, demonstrating how AI and cybersecurity can enhance election efficiency, accuracy, and transparency. By adopting these technologies, Nigeria can address its electoral challenges, strengthening democratic processes and public trust. With strategic planning and investment, INEC can transform Nigeria’s electoral landscape, ensuring fair, secure, and efficient elections.

By Oladoyin Akinsuli

A leading expert in AI and cybersecurity

mediafsw@gmail.com