“Is this written by ChatGPT?” Popular American Investor Paul Graham caused a stir on X (Formerly Twitter) when he insinuated that certain words like “ delve” are an obvious pointer to the use of generative AI tools in language.
It did not go down well with the wider community. The issue he raised was countered with the fact that generative AI tools like ChatGPT and Gemini were trained on human languages, spoken and written differently across different countries.
This discourse sparked a look into other use cases of generative AI, one of which is document verification.
How Generative AI is used in Document Verification
Generative AI, capable of creating new content, including images, videos and text, can be trained on vast datasets of authentic and fraudulent documents to identify information from documents faster and more accurately than humans can.
How does it work?
- AI analyses documents for inconsistencies, anomalies and signs of tampering. This includes altered dates or signatures.
- AI extracts relevant information from documents such as names, numbers, dates of birth and addresses.
- AI-powered facial recognition verifies that a person is alive and present during the verification process by asking them to perform certain actions, such as nodding and smiling.
- AI approves or denies users by comparing their submitted data (documents and biometrics) to the original government database, which helps prevent identity theft.
And it does all of this in seconds, unlike traditional checks that take days or weeks! For example, Our AI-KYC suite processes millions of SIM card registrations for different telcos weekly, reaching a peak of over 600,000 daily registrations.
However, as with any technology, there are risks involved. Generative AI is also a potent tool for fraudsters, as it can create highly convincing fake IDs, passports, and other documents.
What, then, is the right approach for businesses?
First, Consider The Challenges
Training AI models require vast amounts of data, raising privacy concerns. It’s essential to ensure that personal information is handled responsibly and complies with relevant regulations. Cisco’s 2024 Data Privacy Benchmark Study revealed that over a quarter of organisations have temporarily banned generative AI due to privacy and data security risks.
If the training data is biased, the AI model may perpetuate those biases in its decision-making. Basically, Generative AI models are only as good as the data they are trained on
Malicious actors also attempt to manipulate AI models by feeding them carefully crafted inputs designed to deceive the model. One prominent example is the OnlyFake website, which gained attention for enabling users to generate convincing ID documents quickly and easily.
So, while AI can automate many tasks, a human-in-the-loop approach is essential to ensure that AI decisions are reviewed and validated.
Secondly, Get The Right Technology
The core question is: Can AI reliably distinguish between an authentic and a forged document? The answer? Absolutely! The right solution should provide reliable verification results quickly and be able to handle increasing document volumes as your business grows.
This is where Seamfix comes in.
- Our AI-powered system can detect even the most sophisticated document forgeries.
- We provide fast and accurate verification results for a better customer experience.
- We support a wide range of document types (13,000 and counting) from 193 countries, with facial recognition for all races.
- We prioritise data protection and comply with stringent security standards.
- Our solution can be easily integrated into your existing systems and workflows.
We’ve helped over 1000+ businesses manage their onboarding process for over 500,000 customers. With us, you don’t have to worry about KYC/AML regulations or AI technicalities. Let’s handle your document verification needs today. It takes less than 24 hours.
Click the link below to book a call now!
