Decentralized Truth & What is Means for AI Regulations

Truth

In the realm of jurisprudence, the pursuit of truth is a foundational principle, guiding the intricate mechanisms of legal systems worldwide. Law endeavors to construct an objective framework, meticulously designed to sift through evidence, adhere to established procedures, and rely on judicious interpretation to unveil the truth. This system, predicated on the belief in an attainable objective truth, aims to administer justice in a manner that transcends subjective biases and individual perceptions.

Decentralized Truth

However, this quest for a universal truth within the legal domain encounters the inherently decentralized nature of truth in societal contexts. Societies are marked by a norms, values, and beliefs that define what is deemed acceptable or reprehensible. These social norms are not static; they evolve, reflecting the ever-changing landscape of cultural, ethical, and moral standards. The United States Constitution itself, a venerated emblem of democratic principles and rights, presupposes a particular societal culture and norms, illustrating how legal frameworks are deeply intertwined with the cultural fabric of the society they emerge from. Such specificity underscores the challenge in transplanting legal principles, including those enshrined in the U.S. Constitution, to societies with divergent cultural and normative landscapes.

This quote from his interview "Truth and Power" in the 1980 collection "Power/Knowledge" highlights Foucault's belief that truth is not a standalone entity, separate from power, but rather is produced through the operations of power within societal structures. He argues that what we come to accept as truth is the result of various forces and constraints operating within society.

AI Regulations & Truth 

Given the decentralized nature of truth and the diverse societal norms influencing the perception and utilization of AI, proposing a universal or even regional treaty to regulate AI emerges as a formidable challenge. The complexity lies not only in the technological dynamism of AI but also in the plurality of societal norms that guide what is considered an ethical application of AI. The variance in these norms reflects the broader challenge of reconciling diverse cultural and ethical standards within a globalized framework.

Regulations - Local or Global 

In this respect, the regulation of AI, which can be achieved through existing common law, exemplifies the broader tension between the desire for universal principles to govern emerging technologies and the reality of decentralized societal norms. Just as legal systems strive to establish a semblance of objective truth within a complex web of subjective realities, the governance of AI requires a nuanced understanding of the interplay between technology and societal values. It necessitates a flexible, context-sensitive approach that acknowledges the diversity of norms across societies.

The journey toward effectively regulating AI, much like the pursuit of truth, is marked by the superficial goal for universal and centralized standards for either AI or truth itself, which is not possible due to the inherent diversity and decentralization of societal norms. As we navigate this terrain, the dialogue between law, technology, and society remains pivotal in shaping a future where the potential of AI is harnessed ethically and responsibly, reflecting the multifaceted truth of human civilization and its evolution. 

Further read

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• Should AGI be a she, he, or a it? 

• Teaching LLMs common sense thinking

• The Ethical Nexus in an Era of Surrogate Machines

• Applying Asimov's Laws to Robot Taxis Confronted by Threats

• The Moat Matrix: LLMs Shape, but Don't Define the Moat

• From Infinite Improbability to Generative AI: Navigating Imagination in Fiction and Technology

• Human vs. AI in Reinforcement Learning through Human Feedback

• LinkedIn Profiles in the Age of Generative AI

• Generative AI for Law: The Agile Legal Business Model for Law Firms

• Generative AI for Law: From Harvard Law School to the Modern JD

• Unjust Law is Itself a Species of Violence: Oversight vs. Regulating AI

• Generative AI for Law: Technological Competence  of a Judge & Prosecutor

• AI to Make us Super-Scientist, not Super-humans

• Law is Not Logic: The Exponential Dilemma in Generative AI Governance

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• Pushpaka Vimana, Conceptualizing Vedic Technology & Diwali

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• Need for Machine Consciousness & The Chinese Room Argument

• Generative AI & Law: The Evolving Role of Judges in the Federal Judiciary in the Age of AI

• Eating Shellfish to Artificial General Intelligence (AGI)

• Embedding Cultural Value of a Society into Large Language Models (LLMs)

• Lessons in Leadership: The Fall of the Roman Republic and the Rise of Julius Caesar

• Selling Dreams vs. Racing to Win

• LLMs as a Tool to Preserve a Society in History

• Beginning of The End for AI; Beginning for Generative AI