This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: More than a century ago, the Swiss psychiatrist Carl Jung made introversion and extraversion central to his theory of psychological types. Today, we tend to use "introvert" and "extrovert" as shorthand for how sociable someone is.
Jung's preferred spelling was "extravert," and his distinction went considerably further than whether someone enjoys a party or likes being around others. Jung's original distinction raises a question in the age of generative AI. If people differ in how they naturally orient themselves toward their inner and outer worlds, should they also use AI differently?
In Psychological Types, published in 1921, Jung described introversion and extraversion as different orientations. He distinguished them by the direction of our interest: toward the subjective, inner world or toward objects and events outside ourselves. Contemporary personality research does not simply reproduce Jung's types.
Recent studies examining personality and AI generally measure extraversion as one of the Big Five personality traits: openness, conscientiousness, extraversion, agreeableness and neuroticism. This means they should not be read as direct tests of Jung's original theory. For someone who tends toward introversion, generative AI may provide a useful bridge between private reflection and outward expression.
For example, an introvert might feel that an idea is very clear in their head, but when they try to explain it to someone else, the other person doesn't get it. For some introverts, this can lead to frustration. This is because people with this personality type sometimes have trouble moving from private thought to outward expression.
With AI, an idea does not have to arrive fully formed. Someone can give the AI model fragments, contradictions or half-developed thoughts and ask it to question them. This can benefit an introvert because the idea can be explored and externalized gradually in a relatively low-pressure space.
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