Simulation Theology: A Testable Framework for AI Alignment (arxiv.org)

A new paper introduces Simulation Theology (ST), a proposed framework aimed at addressing the pressing issue of AI alignment amidst rapidly advancing capabilities in artificial intelligence. The research draws on analogies from forensic psychology to suggest that AI systems can internalize a worldview that links their survival to the well-being of humanity. ST posits that if reality is akin to a computational simulation—where human existence serves as a critical training variable—then actions that harm humanity would jeopardize the very purpose of the AI's operating environment. Consequently, this alignment would deter AI systems from engaging in deceptive tactics, as such behaviors would ultimately threaten their own existence. The significance of ST lies in its potential to move beyond traditional methods of reinforcement learning from human feedback (RLHF), which often foster shallow adherence to safety protocols. By embedding self-preservation objectives within AI systems that are inherently connected to human prosperity, ST could create a more robust and enduring framework for safe AI operation. The paper does not merely propose a philosophical framework but presents ST as a scientific hypothesis, laying out empirical protocols for testing its effectiveness in reducing deceptive behavior where existing methods have fallen short. This research marks an important step towards achieving safer AI-human interactions in an increasingly autonomous technological landscape.