TY - JOUR
T1 - Toward Practices for Human-Centered Machine Learning
AU - Chancellor, Stevie
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/2/22
Y1 - 2023/2/22
N2 - 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.
AB - 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.
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U2 - 10.1145/3530987
DO - 10.1145/3530987
M3 - Article
AN - SCOPUS:85149186106
SN - 0001-0782
VL - 66
SP - 78
EP - 85
JO - Communications of the ACM
JF - Communications of the ACM
IS - 3
ER -