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Guest Column: Why Protecting Human Identity Matters in the Age of AI

Anjali Kochhar
Anjali Kochhar

December 18, 2025

By Arifa Khan

AI is learning to imitate humans. Quantum computers are learning to break codes we have long relied on. Together, they are reshaping the boundaries of identity, trust, and privacy.

For years, I have been exploring how to secure human authenticity in ways that go beyond passwords, biometrics, or traditional cryptography. As a fintech and blockchain researcher and recently AI, I have witnessed the evolution of identity solutions for over a decade. I wrote about my research on identity in 2021 article here. Some landmark identity solutions being India’s Aadhar, Estonia’s e-identity, and Sam Altman’s Worldcoin based on human iris capture. Over the past one year, through my participation in over 12 worldwide hackathons, I came to learn more about identity networks being established by large corporates. My decade long work on capital markets infrastructure identified a need for robust identity solutions for participants. (My original paper published in 2017 and Recent Publication Fund Management Layer — FML —https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5357360) . My recent work on AI alignment — Reputation Circulation Standard — RCS — https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5380726 and (AAML framework) identified a need to distinguish verifiably and provably between AI & humans.

These concerns are not hypothetical. They are reflected in my writings on digital ecosystems and platform power. In The Perils of Platform Monopolies (published years ago), I argued that concentration of control over digital identity and reputation carries systemic risk. In The Illusion of Private AI — When Genius Becomes the Product, I explored how the very human attributes of creativity and cognition are being captured, commoditized, and replicated by AI without consent or compensation. These insights informed my work on human identity as a foundational, sovereign asset.

With the rise of AI and the coming era of quantum computing, human identity is now the last bastion requiring protection. Imagine a world where humans can assert sovereignty over their cognitive footprints — not through regulatory enforcement alone, but through technologically robust frameworks that protect authenticity, originality, and autonomy. This vision inspired my work on Quantum-Resistant Identity and a complementary human-vs-AI detection system.

By leveraging fundamental constraints in biology, physics, and evolution, it is possible to establish identity markers that are uniquely human (and even more uniquely individual, just like one’s fingerprint) — resilient to both advanced AI and future quantum attacks — without ever exposing private personal data. Advances in blockchain and cryptography already ensure privacy through zero knowledge proofs and zk-snarks. With the growing efficacy of quantum computing, and growing omnipotence of AI, human identity needs protecting through frameworks, international treatises, and technologies. What if humans could assert sovereignty over their cognitive footprint? What if we could also protect it through privacy, not based on authoritative enforcement of privacy such as GDPR Act (that still relies on enforcement) but based on technological robustness? This provided me the inspiration for Quantum Resistant Identity, as well as detection system between AI & humans.

This research has resulted in multiple patent filings in the UK and Switzerland, laying a foundation for next-generation identity verification systems.

Crucially, my work is publicly anchored in prior contributions: papers, articles, hackathon projects, and patent filings in the UK and Switzerland. These filings — covering related systems and methods for securing human originality — establish a documented timeline and public record of innovation. By sharing the foundational principles, I am asserting prior conceptual groundwork, creating a clear precedent for both ethical and legal recognition of human-centric identity frameworks.

While the technical details are confidential, the principle is simple: human originality cannot be perfectly replicated by machines. Protecting it is essential for individuals, institutions, and society as a whole.

As AI grows more capable, safeguarding what makes us uniquely human is not optional — it is imperative.

About the author

Arifa Khan is a multi-domain technologist. Her career has spanned many diverse industries such as Banking, Financial Services, Investment Banking, Fintech, Blockchain & Cryptocurrencies. She is a pioneering author of Decentraling Capital Markets White Paper, a former investment banker with Credit Suisse and UBS. She advised the Reserve Bank of India on understanding Bitcoin and its economic impact in 2015. She is a tech ecosystem builder and built Ethereum community in India since 2016, and publisher of Digital Securities Journal. She is the inventor of three significant patent pending technologies related to AI, distributed systems and crptography. She is a privacy-first institutional infrastructure builder in Web3 (fundfabric.xyz). She has an MBA from Wharton School of Business, and B.Tech from Indian Institute of Technology, Chennai.

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