Human-Centered AI for Data Science: A Systematic Approach
- URL: http://arxiv.org/abs/2110.01108v1
- Date: Sun, 3 Oct 2021 21:47:13 GMT
- Title: Human-Centered AI for Data Science: A Systematic Approach
- Authors: Dakuo Wang, Xiaojuan Ma, April Yi Wang
- Abstract summary: Human-Centered AI (HCAI) refers to the research effort that aims to design and implement AI techniques to support various human tasks.
We illustrate how we approach HCAI using a series of research projects around Data Science (DS) works as a case study.
- Score: 48.71756559152512
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Human-Centered AI (HCAI) refers to the research effort that aims to design
and implement AI techniques to support various human tasks, while taking human
needs into consideration and preserving human control. In this short position
paper, we illustrate how we approach HCAI using a series of research projects
around Data Science (DS) works as a case study. The AI techniques built for
supporting DS works are collectively referred to as AutoML systems, and their
goals are to automate some parts of the DS workflow. We illustrate a three-step
systematical research approach(i.e., explore, build, and integrate) and four
practical ways of implementation for HCAI systems. We argue that our work is a
cornerstone towards the ultimate future of Human-AI Collaboration for DS and
beyond, where AI and humans can take complementary and indispensable roles to
achieve a better outcome and experience.
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