Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Prescriptive Machine Learning for Automated Decision Making: Challenges
  and Opportunities   Recent applications of machine learning (ML) reveal a noticeable shift from
its use for predictive modeling in the sense of a data-driven construction of
models mainly used for the purpose of prediction (of ground-truth facts) to its
use for prescriptive modeling. What is meant by this is the task of learning a
model that stipulates appropriate decisions about the right course of action in
real-world scenarios: Which medical therapy should be applied? Should this
person be hired for the job? As argued in this article, prescriptive modeling
comes with new technical conditions for learning and new demands regarding
reliability, responsibility, and the ethics of decision making. Therefore, to
support the data-driven design of decision-making agents that act in a rational
but at the same time responsible manner, a rigorous methodological foundation
of prescriptive ML is needed. The purpose of this short paper is to elaborate
on specific characteristics of prescriptive ML and to highlight some key
challenges it implies. Besides, drawing connections to other branches of
contemporary AI research, the grounding of prescriptive ML in a (generalized)
decision-theoretic framework is advocated.

21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph