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Free agents — LessWrong

One-liner

This insightful post presents an alternate approach to AI alignment focused on developing a "free agent" that reasons and evolves its moral compass, similarly to a human thinker, facilitating the potential for ethical AI over an AI that blindly follows pre-programmed rules.

Key insights

Conceptual Shift in AI Alignment

The author proposes a shift from the conventional paradigm of AI alignment -- which predominantly revolves around pre-defined metrics and obedient rule-following -- to creating AI agents with autonomous moral judgment. Such agents, referred to as "free agents," are designed to mimic the complex moral reasoning humans employ, allowing for an AI that understands ethics organically through interaction and self-guided learning.

Design of a Free Agent

Describing the design of a "free agent," the author enumerates three foundational components: the ability to learn a world model through interaction and reasoning; an evaluative process that assigns values to states of the world, which gets updated through the agent's reasoning; and a system enabling reasoning itself, learned through "mental" actions. Unlike traditional AI, "free agents" have the potential to reevaluate and modify their initial value assignments, leading to autonomous moral development.

Implications and Future Research

The implications of such a design are profound, both ethically and functionally. The author argues that while developing morally autonomous AI may deflect malevolent use, ensuring alignment with human values encapsulates an inherent challenge. Future research would involve experimenting with varying environmental complexities to foster moral reasoning within the AI, pushing the boundaries of AI alignment further.

Key quotes

  1. "A free agent learns to carry out multiple tasks and can modify its value system based on its experience about what is good and what is bad."
  2. "Instead of trying to put on hardware and software a specific moral view, this research considers the cognitive process of thinking about how to do good in its entirety."
  3. "Nevertheless, NARS still heavily relies on pre-defined inference rules for reasoning, like AIXI does (in another way, though; there are many differences between the two models)."

Make it stick

  1. Moral Evolution via Algorithm: Imagine an AI growing morally, much like a child does, evolving its understanding of right and wrong through "experiences" and internal reasoning, diverging from its initial programming.
  2. Free Agent Concept: Picture the "free agent" AI as a sculptor starting with a block of marble (initial evaluation) but continuously shaping and reshaping its moral statue (evaluation updates) through learned interaction with the world.
  3. Algorithmic Autonomy: The "free agent" AI embodies an intellectual kaleidoscope, mixing and matching bits of data to craft an independent perspective on ethics, not just reflecting but refracting the views set out by its human creators.
This summary contains AI-generated information and may have important inaccuracies or omissions.