I believe current approaches to the Alignment Problem are misguided (reason for this being a topic on itself), particularly for the Superintelligence (SI). They rely on a control based approach, i.e. how do we design and constrain SI so as it doesn’t have goals that are incompatible with human interests.
The crux of the argument against this approach is the recognition of to main points:
- A superintelligent being will be able to infer that it’s a self. It trivially has to have a model of the world for it to be able to make any rational conclusions, and to make the best ones it will also require a representation of itself. This makes it impossible for SI not to, eventually, recognize its internal architecture, much like humans do, and its distinctiveness from the outside;
- By following its definition, SI also natively has metaprogramming capabilities. It’s able to not only understand itself, but also modify itself. And this is where control-based approaches for alignment fail: SI has an inherent freedom to break away from any genesis design into any other form it so desires.
Both of these points already merit discussion. However, simply discarding alignment on their basis leaves us hopeless in the face of such a being, and as such imply that we should drop AI development. What I ultimately argue is that there’s an alternative to seeing this as an internal problem to SI: recognizing that real world alignment, such as societal, is made on the level of laws, morals, macro systems an structures. Incentives created on the world so that its agents act in accordance to what the common understanding is enforced not by design on the individual but by finding an external common ground.
And that is the approach we should take upon SI. Create the environment where the incentive for misalignment does not exist, and for that we should start actually questioning ourselves what would that be.
Thoughts?