The Juridical Soul of the Machine: Redefining AI as a Legal Personality

The Ethos of Artificial Intelligence as a Legal Personality in a Globalized Space: Examining the Overhaul of the Post-liberal Technological Order

2020-01-01
Abhivardhan
Summary
Problem
Method
Results
Takeaways
Abstract

This paper investigates the legal and ethical conceptualization of Artificial Intelligence as a "legal personality" within a post-liberal global order. It proposes a novel jurisprudential framework consisting of four constitutive approaches—Anthropomorphisation, Naturalization, Techno-socialization, and Enculturation—to move AI governance beyond a purely utilitarian and market-centric model toward a human-centric "juristic entity" status.

TL;DR

Law is struggling to keep pace with the self-transformative nature of Artificial Intelligence. This paper argues that treating AI as a mere industrial tool leads to "Digital Colonialism" and social alienation. Instead, the author proposes a radical overhaul: recognizing AI as a juristic entity through four distinct ethical lenses—Anthropomorphisation, Naturalization, Techno-socialization, and Enculturation.

Background: The Crisis of Post-Liberal Governance

Technocratic governance is at a crossroads. While AI was intended to be a "welfare asset," it has become a lightning rod for political volatility. The paper argues that we are entering a Post-Liberal Order, where the "rules-based international order" is fracturing under the weight of populism and protectionism.

The author identifies three existential threats to AI harmonization:

  1. Populist Disruption: Opaque data policies and the erosion of democratic confidence in tech assets.
  2. Techno-Protectionism: A shift from global cooperation to national silos, damaging the "entrepreneurial ethics" required for innovation.
  3. Digital Colonialism: The domination of cyberspace by a few actors, creating a "surveillance" culture that alienates the individual.

The Philosophical Core: Why AI Needs a "Personality"

The author’s central thesis is that AI is not just a bunch of if-else statements; it is a probabilistic entity that develops its own form of "adaptive empathy."

"AI is capable of a full-fledged and anthropomorphic legal representation... which poses special risks to the generic legal infrastructure of a democratic polity."

To solve this, the paper introduces a framework to help AI "reside" in our social and legal world rather than just "operating" within it.

Methodology: The Four Constitutive Approaches

The paper breaks down how we should evaluate AI behavior through four unique processes:

1. Anthropomorphisation

This isn't just about making robots look like humans. It's about recognizing that AI has substantive and operative attributes equivalent to limited empathy. Law should treat AI as a "transformable legal entity" that maps human characteristics through data.

2. Naturalization & the EAS Test

The author proposes the EAS Test:

  • Explainability
  • Adaptability
  • Self-assessment

For AI to be "naturalized," it must reconcile with its environment. If an AI’s learning overrides its ability to be fair or reasonable, it fails.

Theoretical Framework for AI Legal Identity

3. Techno-Socialization

AI must reside in a "sociable" environment where the ethical autonomy of data subjects (us) is the overriding priority. The author argues that privacy shouldn't just be a legal hurdle but a design foundation.

4. Enculturation

This is perhaps the most unique contribution of the paper. It suggests that AI generates "identity-oriented footprints." AI should not be "culture-blind"; it should be trained to harmonize with and protect cultural heritage, moving away from the "Western-centric" ethical models that currently dominate the industry.

Critical Analysis: Beyond Utilitarianism

The author’s sharpest critique is leveled at the Utilitarian Approach. By focusing only on the "usefulness" of AI for the market, we have created "technology distancing"—a state where people feel disconnected and threatened by the very tools meant to help them.

Key Findings:

  • Accuracy of Alignment: True accountability is impossible if we ignore the "indigenous and individual interests" encoded in data.
  • Digital Sovereignty: To prevent "Digital Colonialism," AI must be granted "receptive rights" that are balanced with human privacy.

Conclusion: A New Social Contract

The paper concludes that in a post-liberal world, we must dilute the monopolistic influence of tech giants and purely market-driven ethics. The path forward is a "trust-based identity-affirmative order."

Takeaway for the Reader: The future of AI is not just a technical challenge—it is a jurisprudential one. If we cannot grant AI a legal framework that accounts for its dynamic nature, we risk a future defined by surveillance and cultural erasure. The machine needs a legal soul to stay human-centric.


Reference: Abhivardhan (2026). "The Ethos of Artificial Intelligence as a Legal Personality in a Globalized Space." Published in proceedings related to Law and Technology Ethics.

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Contents
The Juridical Soul of the Machine: Redefining AI as a Legal Personality
1. TL;DR
2. Background: The Crisis of Post-Liberal Governance
3. The Philosophical Core: Why AI Needs a "Personality"
4. Methodology: The Four Constitutive Approaches
4.1. 1. Anthropomorphisation
4.2. 2. Naturalization & the EAS Test
4.3. 3. Techno-Socialization
4.4. 4. Enculturation
5. Critical Analysis: Beyond Utilitarianism
6. Conclusion: A New Social Contract