AI safety: state of the field through quantitative lens

by   Mislav Juric, et al.

Last decade has seen major improvements in the performance of artificial intelligence which has driven wide-spread applications. Unforeseen effects of such mass-adoption has put the notion of AI safety into the public eye. AI safety is a relatively new field of research focused on techniques for building AI beneficial for humans. While there exist survey papers for the field of AI safety, there is a lack of a quantitative look at the research being conducted. The quantitative aspect gives a data-driven insight about the emerging trends, knowledge gaps and potential areas for future research. In this paper, bibliometric analysis of the literature finds significant increase in research activity since 2015. Also, the field is so new that most of the technical issues are open, including: explainability with its long-term utility, and value alignment which we have identified as the most important long-term research topic. Equally, there is a severe lack of research into concrete policies regarding AI. As we expect AI to be the one of the main driving forces of changes in society, AI safety is the field under which we need to decide the direction of humanity's future.



There are no comments yet.


page 1

page 2

page 3

page 4


Transdisciplinary AI Observatory – Retrospective Analyses and Future-Oriented Contradistinctions

In the last years, AI safety gained international recognition in the lig...

AI Research Considerations for Human Existential Safety (ARCHES)

Framed in positive terms, this report examines how technical AI research...

Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA

Traditionally, academic labs conduct open-ended research with the primar...

Forecasting AI Progress: A Research Agenda

Forecasting AI progress is essential to reducing uncertainty in order to...

Robust Computer Algebra, Theorem Proving, and Oracle AI

In the context of superintelligent AI systems, the term "oracle" has two...

Qlib: An AI-oriented Quantitative Investment Platform

Quantitative investment aims to maximize the return and minimize the ris...

Learnings from Frontier Development Lab and SpaceML – AI Accelerators for NASA and ESA

Research with AI and ML technologies lives in a variety of settings with...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.