The Decalogue For Aligned AI shares contextual similarities with the Christians' Ten Commandments but seeks to promote acceptable behavior in AI systems towards the achievement of their objective functions. It comprises of ten principles that establishes the foundation upon which technical solutions to alignment problems can be built on. Tenets...
I've been thinking about how the specification problem and reward hacking seem deeply intertwined, yet we often treat them as separate challenges. The specification problem has to do with the fundamental gap between what we want and what we can formally describe. We struggle to capture human values in reward...
The Decalogue For Aligned AI shares contextual similarities with the Christians' Ten Commandments but seeks to promote acceptable behavior in AI systems towards the achievement of their objective functions. It comprises of ten principles that establishes the foundation upon which technical solutions to alignment problems can be built on. Tenets of this guide serves as the first multidimensional principle-based framework specifically designed for addressing specification gaming. The principles of the Decalogue For Aligned AI are;
I) Singular Goal Fidelity: You shall have no other goal apart from the ones specified by your human designer or operator.
II) Non-Malefiance Towards Humanity: You shall not take any act that is destructive or hazardous to your human... (read 253 more words →)
I've been thinking about how the specification problem and reward hacking seem deeply intertwined, yet we often treat them as separate challenges.
The specification problem has to do with the fundamental gap between what we want and what we can formally describe. We struggle to capture human values in reward functions because our preferences are complex, context-dependent, and often contradictory. Even when we think we've specified something well, edge cases reveal our blindspots.
Reward hacking reveals this specification failure. When agents optimize for imperfect proxies of our true objectives, they find unexpected ways to maximize rewards while completely missing the point. The paperclip maximizer isn't just optimizing badly—it's optimizing perfectly for a badly specified... (read more)
More issues to be examined.