For many businesses, artificial intelligence has become a central part of their daily workflows. For businesses in sectors like banking, gambling, retail, and real estate, this includes their verification processes. AI verification platforms like the ones we have developed at eyeDP can help

However, there is still resistance to AI in many sectors, and for many businesses, these concerns centre on the ethical use of AI and data, particularly around safety and reliability.

Avoiding Bias and Mistakes

AI systems for identity and document verification rely on patterns learned from large datasets. If the training data reflects historical inequalities, there is a risk that the models can reproduce or amplify those same biases. In document verification, certain groups may be flagged more often than others, whether due to their ethnic background, address, or socioeconomic status.

Ensuring these biases do not exist is not easy. AI is trained on large datasets, so it is essential to ensure these potential issues are addressed at the root cause. The right technical practices and regular bias checks are essential to ensure the platform stays ahead of these issues.

When verification determines whether someone gains access to a service, receives funds, or passes compliance checks, every user must receive consistent and impartial treatment. Guaranteeing this is the case is a key principle at eyeDP, and one of the reasons we focus on removing judgement from our models is to minimize this risk.

Data Retention Concerns

Another aspect of the ethics discussion is data retention and how data is used. For many users, especially those who are verifying their identities for something like online gambling, there can be a concern about how their information is being stored and used.

Ethical AI requires strong security measures, encryption, data handling, and transparent policies on how data is processed and how long it is kept. As AI verification continues to grow, it is clear that this is of the utmost importance to users.

Likewise, customers need to feel secure knowing that AI is only extracting the information that is relevant to the customer. For example, if you’re applying to rent an apartment and need to provide proof of funds from your bank, you do not want the AI data reading through all of your personal transactions and sharing them with the letting agency.

When eyeDP automates the process making real time search across documents content possible, the platform ensures that this respects consent and follows regulatory requirements.

It is also important to remember that organisations should not rely solely on automation to conduct their checks. Taking the ‘human in the loop’ approach, where you use AI automations alongside human oversight, is absolutely essential. AI can do the bulk of the work, but it lacks emotional understanding, and this is where humans need to step in.

Being Held Accountable

AI does not understand emotional context, and in turn, it can not make ethical decisions. A human can read between the lines and understand a customer’s situation, and this can help inform a decision.

This also ties in with one of the other ethical concerns users have about using AI: its accountability. When a document is flagged or a customer is blocked, they need to understand why. AI can not explain this to them, which is where human intervention is needed.

While eyeDP is not an explainable AI platform, we do provide operational transparency. Real-time results, structured data extraction, and audit-friendly outputs allow organisations to track how documents go through our systems. With the correct oversight, businesses will be able to understand the basis of decisions and processes over time.

Staying Ahead of the Game

The rise of AI is changing the world in ways that seemed impossible just a few short years ago. As with any new technology, there are ethical considerations that need to be taken into account, both in their development and their use.

At eyeDP, we pride ourselves on placing these issues front and centre. When working with our products, our clients can rest easy knowing that privacy, accuracy, and accountability are core principles that our technology is built on.