How Nodari Gorgiladze’s Research Shapes Approaches to Regulating AI and Digital Assets in the United States

Artificial intelligence is becoming ever more deeply integrated into the U.S. economy and public administration—from creditworthiness assessment and insurance systems to digital identification and risk analysis. Alongside technological progress, there is a growing demand for legal mechanisms capable of protecting fundamental human rights in an era of automated decision-making.

One of the researchers working at the intersection of these challenges is Nodari Gorgiladze—an expert in Digital Law and a researcher of the legal regulation of artificial intelligence, biometric technologies, and digital assets. He is the author of a series of scholarly publications, the first inventor of a real-asset tokenization protocol patented in the United States, and the founder of a nonprofit institute in California.

At the core of Gorgiladze’s research lies a central question: how can U.S. law retain effective control over algorithms under conditions of fragmented AI regulation?

When Biometrics Become a Legal Challenge for Artificial Intelligence

The use of biometric data in artificial intelligence systems has long moved beyond a purely technical debate and has become a subject of legal analysis—particularly in the United States, where such technologies are widely deployed in the financial sector, digital identification, and law-enforcement activities.

In his scholarly article “Mechanisms of Legal Protection of Individuals from the Unlawful Use of Their Biometric Data in Artificial Intelligence Systems,” published in 2025 in the international journal Academy Vision, Gorgiladze proposed a comprehensive set of legal safeguards to protect individuals from opaque algorithmic decisions. This work is among the early systematic studies that integrate legal analysis of biometric data and algorithmic decision-making within both U.S. and EU contexts. Gorgiladze emphasizes that users must have the right to challenge automated decisions and that mandatory audits are necessary for high-risk systems.

Biometric data constitute unique personal information; unlike passwords or documents, they cannot be changed. The absence of clear rules governing facial, voice, and behavioral recognition creates long-term threats to privacy and increases the risk of discrimination.

Who Bears Responsibility for Decisions Made by Algorithms?

These issues are further developed in Gorgiladze’s article “Digital Identity Tokenization as a Challenge to Traditional Legal Concepts of Property” (Academic Visions, 2025). In this work, the author demonstrates how digital identification transforms traditional notions of property and algorithmic decision-making, and outlines mechanisms for ensuring control and transparency.

Gorgiladze combines analysis of U.S. case law, state-level regulation, and European standards (GDPR, the AI Act). This integrated approach enables him to identify pathways for establishing liability rules for decisions made by automated systems—particularly relevant in finance, insurance, and employment, where automated assessments directly affect individual rights.

Can an Autonomous AI Agent Bear Economic Responsibility?

Expanding the scope of analysis, Nodari Gorgiladze addresses the economic and legal challenges of digital assets. In the article “Economic and Legal Nature of Digital Assets Managed by Autonomous AI Agents,” published in EconP, he proposes legal mechanisms for regulating the actions of autonomous AI agents and tokenized assets, combining economic and legal analysis to enhance legal certainty in the digital economy.

His applied approach is further reflected in the study “Financial Forecasting of Crypto-Assets: Econometric Models Integrating High-Frequency and Behavioral Data,” in which Gorgiladze, together with co-authors, developed AI-based econometric models for risk assessment and market behavior forecasting in crypto-asset markets.

Thus, his research goes beyond purely theoretical analysis, offering practical tools for financial forecasting and risk management.

“First Inventor”: Patent Application and the Founding of an Institute

The practical dimension of Gorgiladze’s academic work is evident in the development of the Universal Asset Tokenization and Verification Protocol (UATVP™)—a universal protocol for the tokenization of real-world assets in regulated markets. A patent application has been filed with the U.S. Patent and Trademark Office, where Gorgiladze is listed as the first inventor.

The protocol integrates blockchain technology, legal verification, smart contracts, and regulatory compliance, covering the entire asset life cycle—from rights verification to transfer.

This patented UATVP™ protocol is already being discussed in expert and research communities as a potential model for establishing standards of a secure digital economy. Moreover, it serves as the scientific and practical foundation of the Institute for Digital Asset Systems & Tokenization Inc., founded and led by Gorgiladze. The nonprofit Public Benefit Corporation, registered in California, focuses on researching and developing legal and technological models for lawful tokenization of real-world assets, grounded in regulatory transparency and protection of property rights.

From Challenges to Standards: Shaping the Future of Digital Law

Nodari Gorgiladze’s research consistently addresses key challenges of digital law over a number of years, demonstrating a sustained contribution to the field. His work represents a contemporary direction in legal thought on digital technologies—one that combines in-depth analysis of international experience, the U.S. regulatory landscape, and a practical focus on the real challenges posed by artificial intelligence, biometrics, and digital assets.

At a time when law is only beginning to catch up with technology, such research becomes an integral part of the broader professional discourse on future legal standards.