Intelligent Machines and Deep Learning
Is the goal of technology to make us more or less human?
I’m moving through Adam Greenfield’s Radical Technologies. Thoughts in no particular order:
How might we create machine learning and deep knowledge (ML/DK) systems that don’t de-complexify or reduce diversity, but instead create more heterogeneity, more difference, more possibility? How can we create ML/DK systems that active possibility? There is a reduction of energetic possibility in the manifestation of intelligent systems.
ML/DK intelligent decision making is in service of agendas and power structures; the dismantling of diversity due to statistical and algorithmic based broad stokes that blurrrrrr the “insignificant” differences into intelligible patterns.
Heterogeneity and difference are hard to sell to and towards, they are inherently divergent / seditious to the capital agenda. ML/DK based devices and structures consolidate (read: reduce) information and thus power. Who and what are these patterns in service to and why.
More to come on this as I move through the work.
