Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and
  Industrial Q Needs   AI solutions seem to appear in any and all application domains. As AI becomes
more pervasive, the importance of quality assurance increases. Unfortunately,
there is no consensus on what artificial intelligence means and interpretations
range from simple statistical analysis to sentient humanoid robots. On top of
that, quality is a notoriously hard concept to pinpoint. What does this mean
for AI quality? In this paper, we share our working definition and a pragmatic
approach to address the corresponding quality assurance with a focus on
testing. Finally, we present our ongoing work on establishing the AIQ
Meta-Testbed.

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The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an