Could UBID and UDC Solve the Biggest Problem Facing Advanced AI?

As AI systems become more powerful, the conversation is shifting.

The biggest challenge is no longer whether AI can write code, solve problems, or accelerate scientific discovery.

The real question is:

How do we safely govern systems that may eventually become more capable than the institutions built to regulate them?

This is where my research on Universal Biometric Identification (UBID) and Universal Digital Credits (UDC) becomes interesting.

The Problem

Modern AI systems operate in a world where identity is increasingly difficult to verify.

A powerful AI model can be accessed through:

• Anonymous accounts


• Disposable email addresses


• VPNs


• Automated bot networks


• Fake identities

As AI capabilities increase, this creates a growing governance challenge.

If a future AI system could discover software vulnerabilities, design advanced technologies, or perform high-impact research, how would organizations determine who should have access?

Today, they largely cannot.

The internet was designed around connectivity, not verified human identity.

What Is UBID?

In my paper, I propose Universal Biometric Identification (UBID), a framework where every person receives a globally unique identity based on multiple biometric factors such as:

• Fingerprints


• Facial recognition


• Iris patterns


• Voice recognition


• Behavioral characteristics

These biometric signals are combined with cryptographic security and distributed ledger technologies to create a secure digital identity framework.

The goal is not surveillance.

The goal is to create a trusted proof-of-personhood system.

A system capable of answering a simple question:

Is this a real, verified human?

What Is UDC?

Universal Digital Credits (UDC) extend this identity layer into a global transaction framework.

Instead of relying entirely on traditional banking systems, transactions can be linked directly to verified digital identities.

This creates:

• Reduced fraud


• Better accountability


• Financial inclusion


• Transparent transaction records


• Global accessibility

According to the framework described in the paper, UDC could function as a borderless digital transaction layer tied directly to verified identity.

How Could This Help Advanced AI?

Imagine a future AI model with capabilities far beyond today's systems.

The biggest risk may not be the AI itself.

The biggest risk may be determining who can access it.

A UBID-based access model could introduce several advantages:

1. Verified Human Access

Instead of anonymous registrations, advanced AI systems could require verified human identities.

This would make large-scale abuse significantly more difficult.

2. Accountability

Every interaction with highly capable AI systems could be linked to a verified identity.

This would not eliminate misuse.

But it would dramatically increase accountability.

3. Tiered Access Controls

Not every AI capability needs to be available to everyone.

High-risk capabilities could require:

• Additional verification


• Professional credentials


• Regulatory approval


• Institutional oversight

UBID could provide the foundation for implementing such controls.

4. Global Governance

One of the biggest challenges in AI regulation is fragmentation.

Different countries have different laws, standards, and enforcement mechanisms.

A globally recognized digital identity framework could create a common foundation for international AI governance.

Would This Completely Solve AI Safety?

No.

And it is important to be honest about that.

UBID and UDC would not solve:

• Alignment problems


• Model autonomy concerns


• Recursive self-improvement risks


• Technical AI safety challenges

Those remain separate research areas.

However, UBID could help solve something equally important:

Identity and accountability.

Many AI governance challenges become much easier when every participant in the system is a verified human operating under a secure identity framework.

The Trade-Offs

Any proposal involving biometric identity must address legitimate concerns.

My own paper discusses several challenges:

• Privacy protection


• Data security


• Government misuse


• Surveillance concerns


• Legal compliance


• Ethical governance

Strong encryption, privacy-preserving technologies, zero-knowledge proofs, and independent oversight would be essential components of any real-world deployment.

Without these protections, a global biometric identity system could create risks as significant as the problems it seeks to solve.

Looking Ahead

As AI continues to advance, the world will likely need new infrastructure for trust, identity, and accountability.

The internet solved communication.

Blockchain attempted to solve decentralized trust.

AI is forcing us to solve verified identity.

UBID and UDC represent one possible path toward that future.

Whether such systems become reality remains uncertain.

But one thing is increasingly clear:

The future of AI may depend not only on building smarter machines, but also on building stronger systems for proving who is using them.

References

Based on:

UBID and UDC: A Framework for a No-Money Economy Based on Universal Biometric Identity and Digital Credits by MD Shahinur Rahman and MST Fahima Begum.