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Exploring Generative AI as Personally Effective Decision-Making Tools: A Thought Experiment
Abstract
So much of automated decision-making is common in everyday modern life, but it is often hidden in applications, in processes (searches, academic assessments, loan processes, job applications, and others), in self-driving electronic vehicles, and others. Generative AIs have come to the fore and have been used to enhance human decision-making. This work explores whether generative AI tools may be of use for automated decision-making based on first-hand experimentation across a range of queries. The idea is that there is human oversight over decision-making in everyday usage of generative AI, but what would happen if the decision-making were automated and followed-through on based on a fully automated process? How well would that work in this thought experiment? Would the individual be amenable? Why or why not? In terms of surprises and outlier results, are the responses far out or more centralized? Are the decisions practical? Are the decision-making insights valuable or not?
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