Toward Practices for Human-Centered Machine Learning

被引：9
|
作者：
Chancellor, Stevie [1 ]
机构：
[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
来源：
COMMUNICATIONS OF THE ACM | 2022年 / 66卷 / 03期
关键词：
Compendex;
D O I：
10.1145/3530987
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
MACHINE LEARNING (ML) has been described as a modern Oracle of Delphi-A way to quickly solve problems in different domains, whether auto-completing email messages or predicting the presence of malignant tumors. Computer scientists are theorizing and designing ML technology into our social and personal lives. ML has justifiably stirred tremendous excitement in research, industry, and the popular zeitgeist of artificial intelligence (AI). However, the enthusiastic adoption of ML has also had negative consequences. ML is being used for unsavory and controversial purposes, such as generating "deep fake"videos and reproducing facial discrimination.8,41 On the research side, new research points to worrisome trends of chasing metrics over more principled approaches and questionable gains in deep learning's performance compared to linear models.10,17,30 As a researcher working in applied machine learning for mental health, I have seen. © 2023 ACM.
引用
收藏
页码：78 / 85
页数：8
相关论文
共 50 条
  • [1] A Survey of Human-Centered Evaluations in Human-Centered Machine Learning
    Sperrle, F.
    El-Assady, M.
    Guo, G.
    Borgo, R.
    Chau, D. Horng
    Endert, A.
    Keim, D.
    [J]. COMPUTER GRAPHICS FORUM, 2021, 40 (03) : 543 - 567
  • [2] Human-centered artificial intelligence and machine learning
    Riedl, Mark O.
    [J]. HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES, 2019, 1 (01) : 33 - 36
  • [3] Emerging Perspectives in Human-Centered Machine Learning
    Ramos, Gonzalo
    Suh, Jina
    Ghorashi, Soroush
    Meek, Christoper
    Banks, Richard
    Amershi, Saleema
    Fiebrink, Rebecca
    Smith-Renner, Alison
    Bansal, Gagan
    [J]. CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,
  • [4] 4 Perspectives in Human-Centered Machine Learning
    Guestrin, Carlos
    [J]. KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 3162 - 3162
  • [5] Visual Analytics for Human-Centered Machine Learning
    Andrienko, Natalia
    Andrienko, Gennady
    Adilova, Linara
    Wrobel, Stefan
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2022, 42 (01) : 123 - 133
  • [6] Introduction to the Special Issue on Human-Centered Machine Learning
    Fiebrink, Rebecca
    Gillies, Marco
    [J]. ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS, 2018, 8 (02)
  • [7] Toward human-centered systems
    Talbert, N
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 1997, 17 (04) : 21 - 28
  • [8] TOWARD HUMAN-CENTERED DESIGN
    NORMAN, DA
    [J]. TECHNOLOGY REVIEW, 1993, 96 (05): : 47 - 53
  • [9] A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning
    Kaluarachchi, Tharindu
    Reis, Andrew
    Nanayakkara, Suranga
    [J]. SENSORS, 2021, 21 (07)
  • [10] Human-centered computing: Toward a human revolution
    Jaimes, Alejandro
    Gatica-Perez, Daniel
    Sebe, Nicu
    Huang, Tbomas S.
    [J]. COMPUTER, 2007, 40 (05) : 30 - 34
12345