Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data
  Proceedings   To facilitate the widespread acceptance of AI systems guiding decision-making
in real-world applications, it is key that solutions comprise trustworthy,
integrated human-AI systems. Not only in safety-critical applications such as
autonomous driving or medicine, but also in dynamic open world systems in
industry and government it is crucial for predictive models to be
uncertainty-aware and yield trustworthy predictions. Another key requirement
for deployment of AI at enterprise scale is to realize the importance of
integrating human-centered design into AI systems such that humans are able to
use systems effectively, understand results and output, and explain findings to
oversight committees.
  While the focus of this symposium was on AI systems to improve data quality
and technical robustness and safety, we welcomed submissions from broadly
defined areas also discussing approaches addressing requirements such as
explainable models, human trust and ethical aspects of AI.

35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc