With an open set of weights, fixed seeds and parameters, recorded inputs and feedback loops, the entire AI decision making process is auditable.
It also lends itself nicely for the ability to adjust the AI systems when deficiencies are found. You can tweak the AI systems to align itself with the desired output, and check for regressions, much like tests in a codebase.
Human decision-making lacks this thoroughness. I’ve scarcely come across rigorous documentation of decisions and how they were reached professionally.
With an open set of weights, fixed seeds and parameters, recorded inputs and feedback loops, the entire AI decision making process is auditable.
It also lends itself nicely for the ability to adjust the AI systems when deficiencies are found. You can tweak the AI systems to align itself with the desired output, and check for regressions, much like tests in a codebase.
Human decision-making lacks this thoroughness. I’ve scarcely come across rigorous documentation of decisions and how they were reached professionally.