Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Do you comply with AI? -- Personalized explanations of learning
  algorithms and their impact on employees' compliance behavior   Machine Learning algorithms are technological key enablers for artificial
intelligence (AI). Due to the inherent complexity, these learning algorithms
represent black boxes and are difficult to comprehend, therefore influencing
compliance behavior. Hence, compliance with the recommendations of such
artifacts, which can impact employees' task performance significantly, is still
subject to research - and personalization of AI explanations seems to be a
promising concept in this regard. In our work, we hypothesize that, based on
varying backgrounds like training, domain knowledge and demographic
characteristics, individuals have different understandings and hence mental
models about the learning algorithm. Personalization of AI explanations,
related to the individuals' mental models, may thus be an instrument to affect
compliance and therefore employee task performance. Our preliminary results
already indicate the importance of personalized explanations in industry
settings and emphasize the importance of this research endeavor.

2
The categories of this paper are: math
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org