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.