Future of Business Culture: An Artificial Intelligence-Driven Digital Framework for Organization Decision-Making Process

Table 2

Personnel versus AI-policymaking process.

Conditions	AI	Human
Specificity	A well-defined selection feature selection with precise optimization algorithms is required.	It allows for a broad and vague decision-making environment.
Interpretability	The intricacy of the representations might make interpreting the choice and consequences challenging.	Decisions can be explained and interpreted; however, they are susceptible to retrospective interpretation.
Size	Massive variant combinations can be handled.	Insufficient ability to analyze a wide variety of choices consistently.
Speed	Speedy in comparison. There is a minimal balance among precision.	Slow in comparison. There is a massive trade among exactness.
Replicability	Because of the regular computational approach, the decision-making process and outputs are highly repeatable.	Interpersonal and transcharacteristics such as variances in knowledge, attentiveness, background, and the judgment producer’s psychological response make replication susceptible.