Researching Alignment Research: Unsupervised Analysis
- URL: http://arxiv.org/abs/2206.02841v1
- Date: Mon, 6 Jun 2022 18:24:17 GMT
- Title: Researching Alignment Research: Unsupervised Analysis
- Authors: Jan H. Kirchner, Logan Smith, Jacques Thibodeau, Kyle McDonell, Laria
Reynolds
- Abstract summary: AI alignment research is dedicated to ensuring that artificial intelligence (AI) benefits humans.
In this project, we collected and analyzed existing AI alignment research.
We found that the field is growing quickly, with several subfields emerging in parallel.
- Score: 14.699455652461726
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: AI alignment research is the field of study dedicated to ensuring that
artificial intelligence (AI) benefits humans. As machine intelligence gets more
advanced, this research is becoming increasingly important. Researchers in the
field share ideas across different media to speed up the exchange of
information. However, this focus on speed means that the research landscape is
opaque, making it difficult for young researchers to enter the field. In this
project, we collected and analyzed existing AI alignment research. We found
that the field is growing quickly, with several subfields emerging in parallel.
We looked at the subfields and identified the prominent researchers, recurring
topics, and different modes of communication in each. Furthermore, we found
that a classifier trained on AI alignment research articles can detect relevant
articles that we did not originally include in the dataset. We are sharing the
dataset with the research community and hope to develop tools in the future
that will help both established researchers and young researchers get more
involved in the field.
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