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Machine learning in science and society: A dangerous toy?

CORDIS · observation · Publication date unknown

Machine learning in science and society: A dangerous toy? "Deep learning (DL) models are encroaching on nearly all our knowledge institutions. Ever more scientific fields—from medical science to fundamental physics—are turning to DL to solve long-standing problems or make new discoveries. At the same time, DL is used across society to inform and provide knowledge. We urgently need to evaluate the potentials and dangers of adopting DL for epistemic purposes, across science and society. This project uncovers the epistemic strengths and limits of DL models that are becoming the single most way we are structuring all our knowledge, and it does so by starting with an innovative hypothesis: that DL models are toy models. A toy model is a type of highly idealized model that greatly distorts the gritty details of the real world. Every scientific domain has their own toy models that are used to

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recordType

award

status

SIGNED

region

EU

value

1500000

unit

EUR