Scientists in silico?
Carl McBride
TL;DR
This paper discusses the potential future where artificial intelligences conduct most scientific research, challenging the traditional role of human scientists.
Contribution
It presents a speculative perspective on the increasing role of weak AI in scientific discovery and its implications for human researchers.
Findings
AI may eventually undertake most scientific research tasks
The role of human scientists could diminish in future scientific endeavors
The discourse explores the transition from human to AI-led science
Abstract
The end (for human scientists) is nigh? The posit of this discourse is that the majority, if not all, scientific research will eventually be undertaken by one, or a number of, weak artificial intelligences.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputability, Logic, AI Algorithms · Scientific Computing and Data Management · Explainable Artificial Intelligence (XAI)