Wow really fantastic article, I feel like it got to the core of a lot of the asssumptions and mentalities I’ve personally seen working in the fields of data science and tech. And really got me thinker far deeper than I have before. I can’t overstate how much I appreciate your work!
In particular I resonated with the unquestioned assumption that the boxes we create (and the boxes algorithms create, ie in basic ML) are sound to use for correlation and even causation. I see constantly how we rarely stop to ask WHY we might be seeing certain correlations or WHY some metrics have such predictive power.
Michelle Jia’s “data is a form of attention” applies well here, especially as that form of attention to aspects of society becomes ingrained and amplified in generative AI.
Great article again!
You may appreciate these "artificial clichés" made with stable diffusion.
https://medium.com/tag/artificial-clich%C3%A9s
Wow really fantastic article, I feel like it got to the core of a lot of the asssumptions and mentalities I’ve personally seen working in the fields of data science and tech. And really got me thinker far deeper than I have before. I can’t overstate how much I appreciate your work!
In particular I resonated with the unquestioned assumption that the boxes we create (and the boxes algorithms create, ie in basic ML) are sound to use for correlation and even causation. I see constantly how we rarely stop to ask WHY we might be seeing certain correlations or WHY some metrics have such predictive power.
Michelle Jia’s “data is a form of attention” applies well here, especially as that form of attention to aspects of society becomes ingrained and amplified in generative AI.