When Scientific Cognition Is No Longer Scarce

Key points

• Consider a world in which machine systems are better, faster, and cheaper than people at most scientific work that can be done through a computer.1
• Our question is what would limit science in that world.1
• In this paper, we call this change the scarcity inversion and consider four parts of it: selection, physical access, validation, and organizational choice.1
• The practical question is how facilities, verification, provenance, resource allocation, and scientific governance should change when reasoning is plentiful and trustworthy evidence is scarce.1

Sources (1)

• [1]When Scientific Cognition Is No Longer Scarce
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 03:25 PM

  AI could change which parts of science impede progress.

  Consider a world in which machine systems are better, faster, and cheaper than people at most scientific work that can be done through a computer.

Extractive summary: sentences quoted from the sources.