Ninety-Nine

"The contemporary condition is that datafication has become essential to value creation and our societies are evermore shaped by large AI systems (Morozov, 2019). Since ML systems, or models, work on translations of quantified phenomena in the world, the value of their learning largely depends on quantity, the amount of data they have. Theoretically if a model is given enough input about its context of operation– in aggregate we assume the surrounding world– then it should give out accurate conditions/outputs about that context– the world– as constructed by those who are in a position of framing in this mathematical, measurable sense." 

AI has 99 problems

Comments

Popular posts from this blog

Perplexity

Aphorisms: AI

DeepAI's Austen on China