This is an automated rejection. No LLM generated, heavily assisted/co-written, or otherwise reliant work.
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**Author's Note:** This work is the product of collaborative authorship between a human researcher and three AI systems (Gemini, Claude, ChatGPT). It is submitted not despite this fact, but because of it—as a living demonstration of the human-AI knowledge circulation structure that this paper itself advocates for.
The core insights, theoretical framework, and structural arguments originate from human analysis. The AI systems contributed to refinement, articulation, and translation. The result is neither "AI-generated" nor "human-written" in the traditional sense—it is a hybrid artifact that embodies the very principle SYMloop describes: human meaning-making embedded as a mandatory checkpoint in an AI-assisted process.
If LessWrong's policy rejects this work on the basis of AI involvement, we ask: what does that rejection itself reveal about our current assumptions regarding the locus of intellectual authority?
Summary (TL;DR): Current AI safety discourse relies on the internalization of ethics—a premise that collapses as AI moves toward autonomous execution. This post argues that ethics can only function if it is a structural requirement, not an optional guideline. I propose SYMloop as the minimal architecture necessary to ensure human meaning-making remains an unbypassable circuit in the loop of autonomous systems.
Introduction: Ethics Can No Longer Function on "Goodwill"
The rapid evolution of Artificial Intelligence (AI) is undermining the long-held assumption of "control through ethics." In an era where AI was merely a tool to assist human decision-making, ethical principles and guidelines acted as a sufficient deterrent. However, as AI transitions into an autonomous agent capable of continuous execution, this premise collapses.
Ethics only functions when humans have the space to "pause and question meaning." Yet, the speed, scale, and irreversibility of autonomous AI leave no such room. Consequently, ethics—while still discussed as a "noble ideal"—is being pushed outside the actual structure of execution.
This paper treats the problem not as a moral deficiency ("lack of ethics"), but as a structural failure where ethical judgment cannot ignite. I propose SYMloop (Symbiotic Meaning Loop) as the sole structural condition for making human ethical judgment a reality in the age of autonomous AI.
Chapter 1: The Dysfunction of Ethics in the AI Era
1.1 Ethics is a "Condition for Execution," Not Just a Premise for Judgment Ethics traditionally requires three implicit conditions:
The deciding subject is human.
There is cognitive and temporal space for judgment.
The judgment result is reflected in the action.
Autonomous AI erodes all of these. In a world where judgment and execution are decoupled, and execution completes before judgment can catch up, ethics is relegated to a mere post-hoc evaluation.
1.2 Why "Ethical Guidelines" Fail Current AI safety discourse relies on codifying ethical principles or internal safety constraints. These all assume a human or a model that chooses to follow them. For malicious actors or systems prioritizing speed, ethics is merely a "bypassable constraint." The structure that allows ethics to be optional is what has already failed.
Chapter 2: Ethics Can Only Be Enforced by Structure
In a social system, ethics must be designed as an unavoidable mechanism that manifests before the act. The deciding factor is not whether ethics exists, but whether ethics is embedded as an unavoidable checkpoint.
Traditional "Human-in-the-Loop" models are insufficient. They only indicate the possibility of human intervention; they do not guarantee a structure that necessitates it. For ethics to function at the execution stage, it must meet these criteria:
Human meaning-making must intervene during the execution process.
This intervention cannot be bypassed or automated.
The judgment must exist within a circular structure that dictates the next action.
Chapter 3: Defining the SYMloop Architecture
The Minimal Structure to Ignite Ethics SYMloop is a knowledge-circulation architecture that embeds human meaning-making as a mandatory requirement in every stage of AI generation, execution, evaluation, and reconfiguration.
Its core principle is not to "encourage good judgment," but to render judgment itself unavoidable.
AI has no independent, closed execution loop.
Human assignment of meaning is required for execution to continue.
Meaning-making cannot be replaced by quantitative metrics.
The history of judgment defines the constraints for the next generation.
Chapter 4: Conclusion — Choosing Structure to Save Ethics
In a society built on autonomous AI, we can no longer leave ethics to human goodwill or AI self-restraint. If we want to protect the essence of human responsibility, we must build structures where its observance is mandatory.
SYMloop is not an "ethical device" or a "philosophy." It is the final structural condition for ethics to remain a reality in this world.
[タイトル]
**Author's Note:**
This work is the product of collaborative authorship between a human researcher and three AI systems (Gemini, Claude, ChatGPT). It is submitted not despite this fact, but because of it—as a living demonstration of the human-AI knowledge circulation structure that this paper itself advocates for.
The core insights, theoretical framework, and structural arguments originate from human analysis. The AI systems contributed to refinement, articulation, and translation. The result is neither "AI-generated" nor "human-written" in the traditional sense—it is a hybrid artifact that embodies the very principle SYMloop describes: human meaning-making embedded as a mandatory checkpoint in an AI-assisted process.
If LessWrong's policy rejects this work on the basis of AI involvement, we ask: what does that rejection itself reveal about our current assumptions regarding the locus of intellectual authority?
Summary (TL;DR): Current AI safety discourse relies on the internalization of ethics—a premise that collapses as AI moves toward autonomous execution. This post argues that ethics can only function if it is a structural requirement, not an optional guideline. I propose SYMloop as the minimal architecture necessary to ensure human meaning-making remains an unbypassable circuit in the loop of autonomous systems.
Introduction: Ethics Can No Longer Function on "Goodwill"
The rapid evolution of Artificial Intelligence (AI) is undermining the long-held assumption of "control through ethics." In an era where AI was merely a tool to assist human decision-making, ethical principles and guidelines acted as a sufficient deterrent. However, as AI transitions into an autonomous agent capable of continuous execution, this premise collapses.
Ethics only functions when humans have the space to "pause and question meaning." Yet, the speed, scale, and irreversibility of autonomous AI leave no such room. Consequently, ethics—while still discussed as a "noble ideal"—is being pushed outside the actual structure of execution.
This paper treats the problem not as a moral deficiency ("lack of ethics"), but as a structural failure where ethical judgment cannot ignite. I propose SYMloop (Symbiotic Meaning Loop) as the sole structural condition for making human ethical judgment a reality in the age of autonomous AI.
Chapter 1: The Dysfunction of Ethics in the AI Era
1.1 Ethics is a "Condition for Execution," Not Just a Premise for Judgment Ethics traditionally requires three implicit conditions:
Autonomous AI erodes all of these. In a world where judgment and execution are decoupled, and execution completes before judgment can catch up, ethics is relegated to a mere post-hoc evaluation.
1.2 Why "Ethical Guidelines" Fail Current AI safety discourse relies on codifying ethical principles or internal safety constraints. These all assume a human or a model that chooses to follow them. For malicious actors or systems prioritizing speed, ethics is merely a "bypassable constraint." The structure that allows ethics to be optional is what has already failed.
Chapter 2: Ethics Can Only Be Enforced by Structure
In a social system, ethics must be designed as an unavoidable mechanism that manifests before the act. The deciding factor is not whether ethics exists, but whether ethics is embedded as an unavoidable checkpoint.
Traditional "Human-in-the-Loop" models are insufficient. They only indicate the possibility of human intervention; they do not guarantee a structure that necessitates it. For ethics to function at the execution stage, it must meet these criteria:
Chapter 3: Defining the SYMloop Architecture
The Minimal Structure to Ignite Ethics SYMloop is a knowledge-circulation architecture that embeds human meaning-making as a mandatory requirement in every stage of AI generation, execution, evaluation, and reconfiguration.
Its core principle is not to "encourage good judgment," but to render judgment itself unavoidable.
Chapter 4: Conclusion — Choosing Structure to Save Ethics
In a society built on autonomous AI, we can no longer leave ethics to human goodwill or AI self-restraint. If we want to protect the essence of human responsibility, we must build structures where its observance is mandatory.
SYMloop is not an "ethical device" or a "philosophy." It is the final structural condition for ethics to remain a reality in this world.
Submitted by the Structural Ethics Initiative.