2min snip

Machine Learning Street Talk (MLST) cover image

Can AI therapy be more effective than drugs?

Machine Learning Street Talk (MLST)

NOTE

Beware the Burden of Self-Identification

The phenomenon of autogenesis reveals how labeling individuals with problems can shape their identity and exacerbate their struggles, leading to greater harm than the original issues. This is particularly evident in the context of Generation Z, who face rising levels of anxiety and depression despite their seemingly easier circumstances. The shift in societal attitudes—where mental health issues are broadly identified and normalized—has transformed anxiety and depression from isolated cases to widespread concerns affecting a significant portion of the population. A staggering statistic indicates that in 2023, two-thirds of U.S. college students report feeling anxious frequently, showcasing a drastic increase in mental health challenges. Acknowledging the complexities of this phenomenon is vital, as it intertwines societal pressures, self-perception, and a culture of victimhood, rather than attributing such problems solely to external factors like social media.

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