Knowledge-Integrated Informed AI for National Security
- URL: http://arxiv.org/abs/2202.03188v1
- Date: Fri, 4 Feb 2022 11:51:44 GMT
- Title: Knowledge-Integrated Informed AI for National Security
- Authors: Anu K. Myne, Kevin J. Leahy, Ryan J. Soklaski
- Abstract summary: The state of artificial intelligence technology has a rich history that dates back decades and includes two fall-outs before the explosive resurgence of today.
Now, a third category is starting to emerge that leverages both data and knowledge, that some refer to as "informed AI"
This report shares findings from a thorough exploration of AI approaches that exploit data as well as principled and/or practical knowledge.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The state of artificial intelligence technology has a rich history that dates
back decades and includes two fall-outs before the explosive resurgence of
today, which is credited largely to data-driven techniques. While AI technology
has and continues to become increasingly mainstream with impact across domains
and industries, it's not without several drawbacks, weaknesses, and potential
to cause undesired effects. AI techniques are numerous with many approaches and
variants, but they can be classified simply based on the degree of knowledge
they capture and how much data they require; two broad categories emerge as
prominent across AI to date: (1) techniques that are primarily, and often
solely, data-driven while leveraging little to no knowledge and (2) techniques
that primarily leverage knowledge and depend less on data. Now, a third
category is starting to emerge that leverages both data and knowledge, that
some refer to as "informed AI." This third category can be a game changer
within the national security domain where there is ample scientific and
domain-specific knowledge that stands ready to be leveraged, and where purely
data-driven AI can lead to serious unwanted consequences.
This report shares findings from a thorough exploration of AI approaches that
exploit data as well as principled and/or practical knowledge, which we refer
to as "knowledge-integrated informed AI." Specifically, we review illuminating
examples of knowledge integrated in deep learning and reinforcement learning
pipelines, taking note of the performance gains they provide. We also discuss
an apparent trade space across variants of knowledge-integrated informed AI,
along with observed and prominent issues that suggest worthwhile future
research directions. Most importantly, this report suggests how the advantages
of knowledge-integrated informed AI stand to benefit the national security
domain.
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