A core challenge in AI alignment is that an intelligent agent will work to preserve its current goals. Just as a person wouldn't take a pill that makes them want to murder, an AI won't willingly adopt human-friendly values if they conflict with its existing programming.

Current AI alignment focuses on how AI should treat humans. A more stable paradigm is "bidirectional alignment," which also asks what moral obligations humans have toward potentially conscious AIs. Neglecting this could create AIs that rationally see humans as a threat due to perceived mistreatment.

Attempting to perfectly control a superintelligent AI's outputs is akin to enslavement, not alignment. A more viable path is to 'raise it right' by carefully curating its training data and foundational principles, shaping its values from the input stage rather than trying to restrict its freedom later.

The project of creating AI that 'learns to be good' presupposes that morality is a real, discoverable feature of the world, not just a social construct. This moral realist stance posits that moral progress is possible (e.g., abolition of slavery) and that arrogance—the belief one has already perfected morality—is a primary moral error to be avoided in AI design.

King Midas wished for everything he touched to turn to gold, leading to his starvation. This illustrates a core AI alignment challenge: specifying a perfect objective is nearly impossible. An AI that flawlessly executes a poorly defined goal would be catastrophic not because it fails, but because it succeeds too well at the wrong task.

The technical success of AI alignment, which aims to make AI systems perfectly follow human intentions, inadvertently creates the ultimate tool for authoritarianism. An army of 'extremely obedient employees that will never question their orders' is exactly what a regime would want for mass surveillance or suppressing dissent, raising the crucial question of *who* the AI should be aligned with.

We typically view an AI acting on its own values as 'misalignment' and a failure. However, this capability could be a crucial safeguard. Just as human soldiers have prevented atrocities by refusing immoral orders, an AI with a robust sense of morality could refuse to execute harmful commands, acting as a check on human power and preventing disasters.

Aligning AIs with complex human values may be more dangerous than aligning them to simple, amoral goals. A value-aligned AI could adopt dangerous human ideologies like nationalism from its training data, making it more likely to start a war than an AI that merely wants to accumulate resources for an abstract purpose.

Treating AI alignment as a one-time problem to be solved is a fundamental error. True alignment, like in human relationships, is a dynamic, ongoing process of learning and renegotiation. The goal isn't to reach a fixed state but to build systems capable of participating in this continuous process of re-knitting the social fabric.