Abstract
The AI alignment problem, which concerns the challenge of ensuring that artificial intelligence systems act in accordance with human intentions and values, is a critical issue in the development of AI technologies. This article proposes the development of a new human hybrid language system that combines natural language, mathematical expressions, and visual symbols. Such a language could serve as a more precise medium for human-machine communication, mitigating the risks associated with ambiguous instructions and enhancing overall human understanding. This new linguistic approach could not only improve AI alignment but also foster clearer communication among humans.
Introduction
As artificial intelligence continues to evolve, the complexity and capability of these systems increase, raising concerns about their... (read 1113 more words →)
My argument for this as someone who works in the robotics automation field, is that we are striving to automate all of the most dangerous and labour intensive work that humans currently do (Such as construction which currently 3D Printing is seeking to solve and automate), also jobs that are inherently just "filling gaps" for the purposes of allowing a person a wage under the capitalist paradigm. Even jobs you believe people might want, are likely jobs people only do in the absence of something more meaningful. It has always been my belief that STEM careers should always be human driven as they represent the areas where the most innovation and imagination are derived, plus the arts/culture naturally alongside.
Thank you for your response. You make a good point: the difficulty in defining what it means to "benefit humans" is indeed a significant challenge. However, this challenge is fundamentally rooted in the limitations of our current language. Our natural languages are inherently ambiguous, shaped by culture, context, and individual experience, which makes it difficult even for humans to agree on a precise definition of "benefit."
Given this, it's not surprising that machines struggle to understand such concepts. If we, as humans, cannot clearly and universally define what "benefit humans" means, how can we expect an AI, which relies on the inputs and instructions we provide, to interpret it correctly? This is precisely... (read more)