Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Identifying and Managing Sources of Uncertainty in AI and
  Machine Learning Models - An Overview   Quantifying and managing uncertainties that occur when data-driven models
such as those provided by AI and machine learning methods are applied is
crucial. This whitepaper provides a brief motivation and first overview of the
state of the art in identifying and quantifying sources of uncertainty for
data-driven components as well as means for analyzing their impact.

13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ