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.
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.
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.
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.