Technology
AI vs Humanity: A Battle of Identity
Artificial intelligence (AI) is changing the world. The last two decades have laid the infrastructure to give over 5 billion people access to digital services through smartphones and the Internet. This has primed the world for an AI revolution, the exponential growth of which we’re beginning to see through services like ChatGPT that fundamentally change how we interact with technology.
Like every technological paradigm shift, from fire to flying or the industrial revolution to the Internet, the benefits of AI will also be challenged by its threat. While my pronoid nature is certain that the net impact will be positive (because there are many more good people in this world than bad), one growing area of AI concern is how we distinguish ourselves as human beings versus AI.
Trust is a base requirement for our lives to operate effectively, from our relationships with those around us to our interactions with business and government services. We have built systems to facilitate trust; our ID cards prove who we are, and our physical address ensures that we can be found. But in Africa and other emerging markets, poor identity and physical addressing infrastructure limits trust increase fraud and hold back the economy. MIT estimated that India’s lack of a physical addressing system costs its economy 0.5% of its GDP. Visa’s latest fraud report shows that attempted fraud in Africa is 5x more than in the US.
Over the past two decades, we’ve seen technology try to help us prove we are who we say we are. Before, every transaction at a bank had to be done in person, but over time, these physical verifications have been replaced by digital ones; we’ve all solved annoying online captcha puzzles, fumbled for another one-time pin (OTP), and maybe more recently awkwardly recorded a selfie video of yourself.
However, as more and more services become digital, the fraudsters keep out-innovating these measures. AI can now impersonate a customer service agent or make a video of you speaking from just a photo. This undermines the ability of businesses across various industries to identify and verify their customers. In January 2023, Visa saw a 60x increase in fraud rate for Financial Services compared to just a year earlier.
Proof of address is stuck in the analogue era
Smart operators worldwide understand the threat posed to customer verification by AI and are already investing in mitigations. Meta has begun using paid-for verification for Instagram and Facebook. PayPal uses a detailed process that relies on multiple layers of compliance, verification, and monitoring to verify and onboard customers.
However, proof of identity using an ID card is no longer enough, so startups are innovating to help businesses truly know their customer. Worldcoin launched earlier this year to use a person’s iris as a form of identity; others like Bright ID schedule group video calls where you need to hold a conversation to prove you’re a real human being.
One area that is being overlooked is knowing where the customer lives. In developed markets like the US and UK, your proof of address is the ultimate form of accountability because whether it’s your bank or the police, they can physically find you if you commit fraud.
Yet, proof of address has become harder to validate in our modern world. People don’t live in the same house for most of their lives like before; in fact, digital nomads don’t even have a fixed abode at all. Bank statements or utility bills are no longer posted through the letterbox, enforcing a point of verification because they’re now digital PDFs delivered to your phone. It used to be relatively easy to update your few services when you moved, but now you have an overwhelming number of accounts to update.
And this is the best-case scenario. It’s estimated that 4 billion people – half the globe – do not have a formal physical address because their building or road has no identifier. And what about those who do not have a fixed home because they are homeless or have had to flee their country as refugees?
When global banking regulation forces financial services to only offer their services if the customer can prove their address, this creates a massive problem for the world’s economy. On paper, the regulators are doing the right thing to ensure financial services correctly implement effective Know Your Customer (KYC) measures. However, it creates a catch-22 for financial service providers; to open accounts, they need to have verified customer addresses, but there are no practical ways to do this beyond sending a human agent to the customer’s address, which costs too much, especially for accounts for lower-income customers.
AI to the rescue
My Kenyan co-founder once said, “We’re blessed in Africa to have so many problems because it creates so much opportunity”, and it’s this problem and opportunity that my co-founders and I have spent the last 10 years trying to solve. We believe that it’s a human right for every person to have a verified address so that they can access the services they deserve, from opening up a bank account to having an ambulance arrive at their door.
We see a world where anyone with a smartphone has a digital address that uses the location data in their phone, behavioural science and AI to verify they live where they say they do. As a centralised addressing system, when the person moves, they just have to notify us for all other services to be updated. It puts control of the address into the hands of the user, who can manage their data privacy and only give access to their address to the businesses and people they trust.
The behavioural science in our solution grounds a user’s digital account to the real world through where they live, enabling both proof of address and proof of humanity. While AI can impersonate your voice and create a video of you, it cannot impersonate where you live.
In our new world, where it’s becoming increasingly difficult to build trust and distinguish the difference between AI and a human, perhaps the solution is closer to home than we think.
Timbo Drayson is the CEO & Co-Founder of OkHi
By Adedapo Adesanya
Lagos State’s representative, Team Nevo, won the 3 Million Technical Talent (3MTT) South-West Regional Hackathon, on Tuesday, December 9, 2025.
The host state took the victory defeating pitches from other south west states, including Oyo, Ogun, Osun, Ekiti, and Ondo States.
This regional hackathon was a major moment for the 3MTT Programme, bringing together young innovators from across the South-West to showcase practical solutions in AI, software development, cybersecurity, data analysis, and other key areas of Nigeria’s digital future.
Launched by the Federal Ministry of Communications, Innovation, and Digital Economy, the hackathon brought together talented young innovators from across the Southwest region to showcase their digital solutions in areas such as Artificial Intelligence (AI)/Machine Learning, software development, data analysis, and cybersecurity, among others.
“This event not only highlights the potential of youth in South West but also advances the digital economy, fosters innovation, and creates job opportunities for our young people,” said Mr Oluwaseyi Ayodele, the Lagos State Community Manager.
Winning the hackaton was Team Nevo, made up of Miss Lydia Solomon and Mr Teslim Sadiq, whose inclusive AI learning tool which tailors academic learning experiences to skill sets of students got the top nod, with N500,000 in prize money.
Team Oyo represented by Microbiz, an AI business tool solution, came in second place winning N300,000 while Team Ondo’s Fincoach, a tool that guides individuals and businesses in marking smarter financial decisions, came third with N200,000 in prize money.
Others include The Frontiers (Team Osun), Ecocycle (Team Ogun), and Mindbud (Team Ekiti).
Speaking to Business Post, the lead pitcher for Team Nevo, Miss Solomon, noted, “It was a very lovely experience and the opportunity and access that we got was one of a kind,” adding that, “Expect the ‘Nevolution’ as we call it, expect the transformation of the educational sector and how Nevo is going to bring inclusion and a deeper level of understanding and learning to schools all around Nigeria.”
Earlier, during his keynote speech, the chief executive officer (CEO) of Sterling Bank, Mr Abubakar Suleiman, emphasised the need for Nigeria’s budding youth population to tap into the country’s best comparative advantage, drawing parallels with commodities and resources like cocoa, soyabeans, and uranium.
“Tech is our best bet to architect a comparative advantage. The work we are doing with technologies are very vital to levelling the playing field.”
By Aduragbemi Omiyale
One of the high points of the 2025 re:Invent was the unveiling of Graviton5, the fifth generation of custom Arm-based server processors from Amazon Web Services (AWS).
Many tech enthusiasts believe that the company pushed the limits with Graviton5, its most powerful and efficient CPU, frontier agents that can work autonomously for days, an expansion of the Amazon Nova model family, Trainium3 UltraServers, and AWS AI Factories suitable for implementing AI infrastructure in customers’ existing data centres.
Graviton5—the company’s most powerful and efficient CPU
As cloud workloads grow in complexity, organizations face a persistent challenge to deliver faster performance at lower costs and meet sustainability commitments without trade-offs.
AWS’ new Graviton5-based Amazon EC2 M9g delivers up to 25% higher performance than its previous generation, with 192 cores per chip and 5x larger cache.
For the third year in a row, more than half of new CPU capacity added to AWS is powered by Graviton, with 98 per cent of the top 1,000 EC2 customers—including Adobe, Airbnb, Epic Games, Formula 1, Pinterest, SAP, and Siemens—already benefiting from Graviton’s price performance advantages.
Expansion of Nova family of models and pioneers “open training” with Nova Forge
Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across reasoning, multimodal processing, conversational AI, code generation, and agentic tasks. Nova Forge pioneers “open training,” giving organizations access to pre-trained model checkpoints and the ability to blend proprietary data with Amazon Nova-curated datasets.
Nova Act achieves breakthrough 90% reliability for browser-based UI automation workflows built by early customers. Companies like Reddit are using Nova Forge to replace multiple specialized models with a single solution, while Hertz accelerated development velocity by 5x with Nova Act.
Addition of 3 frontier agents, a new class of AI agents that work as an extension of your software development team
Frontier agents represent a step-change in what agents can do. They’re autonomous, scalable, and can work for hours or days without intervention. AWS announced three frontier agents—Kiro autonomous agent, AWS Security Agent, and AWS DevOps Agent. Kiro autonomous agent acts as a virtual developer for your team, AWS Security Agent is your own security consultant, and AWS DevOps Agent is your on-call operational team.
Companies, including Commonwealth Bank of Australia, SmugMug, and Wester Governors University have used one or more of these agents to transform the software development lifecycle.
Unveiling Trainium3 UltraServers
As AI models grow in size and complexity, training cutting-edge models requires infrastructure investments that only a handful of organizations can afford.
Amazon EC2 Trn3 UltraServers, powered by AWS’s first 3nm AI chip, pack up to 144 Trainium3 chips into a single integrated system, delivering up to 4.4x more compute performance and 4x greater energy efficiency than Trainium2 UltraServers.
Customers achieve 3x higher throughput per chip while delivering 4x faster response times, reducing training times from months to weeks. Customers including Anthropic, Karakuri, Metagenomi, NetoAI, Ricoh, and Splash Music are reducing training and inference costs by up to 50 per cent with Trainium, while Decart is achieving 4x faster inference for real-time generative video at half the cost of GPUs, and Amazon Bedrock is already serving production workloads on Trainium3.
By Adedapo Adesanya
The National Information Technology Development Agency (NITDA) has issued an advisory on new vulnerabilities in ChatGPT that could expose users to data-leakage attacks.
According to the advisory, researchers discovered seven vulnerabilities affecting GPT-4o and GPT-5 models that allow attackers to manipulate ChatGPT through indirect prompt injection.
The agency explained that hidden instructions placed inside webpages, comments, or Uniform Resource Locators (URLs) can trigger unintended commands during regular browsing, summarisation, or search actions.
“By embedding hidden instructions in webpages, comments, or crafted URLs, attackers can cause ChatGPT to execute unintended commands simply through normal browsing, summarization, or search actions,” they stated.
The warning followed rising concerns about AI-powered tools interacting with unsafe web content and the growing dependence on ChatGPT for business, research, and public-sector tasks.
NITDA added that some flaws allow the bypassing of safety controls by masking malicious content behind trusted domains.
Other weaknesses take advantage of markdown rendering bugs, enabling hidden instructions to pass undetected.
It explained that in severe cases, attackers can poison ChatGPT’s memory, forcing the system to retain malicious instructions that influence future conversations
They stated that while OpenAI has fixed parts of the issue, Large-Language Models (LLMs) still struggle to reliably separate genuine user intent from malicious data.
The Agency warned that these vulnerabilities could lead to a range of cybersecurity threats, including unauthorised actions carried out by the model; unintended exposure of user information; manipulated or misleading outputs; and long-term behavioural changes caused by memory poisoning, among others.
It advised Nigerians, businesses, and government institutions to adopt several precautionary steps to stay safe. These include limiting or disabling the browsing and summarisation of untrusted websites within enterprise environments and enabling features like browsing or memory only when necessary.
It also recommended regular updates to deployed GPT-4o and GPT-5 models to ensure known vulnerabilities are patched.
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