Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Four Principles of Explainable AI as Applied to Biometrics and Facial
  Forensic Algorithms   Traditionally, researchers in automatic face recognition and biometric
technologies have focused on developing accurate algorithms. With this
technology being integrated into operational systems, engineers and scientists
are being asked, do these systems meet societal norms? The origin of this line
of inquiry is `trust' of artificial intelligence (AI) systems. In this paper,
we concentrate on adapting explainable AI to face recognition and biometrics,
and we present four principles of explainable AI to face recognition and
biometrics. The principles are illustrated by $\it{four}$ case studies, which
show the challenges and issues in developing algorithms that can produce
explanations.

26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga