People Should Have a Right Not to Be Subjected to AI Profiling Based on Publicly Available Data! A Reply to Holm

被引:0
作者
Thomas Ploug
机构
[1] Aalborg University,Centre for Applied Ethics and Philosophy of Science, Department of Communication and Psychology
关键词
Artificial intelligence; Privacy; Right not to be profiled; Public data; Social control; Stigmatization;
D O I
10.1007/s13347-023-00652-5
中图分类号
学科分类号
摘要
Studies suggest that machine learning models may accurately predict depression and other mental health-related conditions based on social media data. I have recently argued that individuals should have sui generis right not to be subjected to AI profiling based on publicly available data without their explicit informed consent. In a comment, Holm claims that there are scenarios in which individuals have a reason to prefer attempts of social control exercised on the basis of accurate AI predictions and that the suggested right burdens individuals unfairly by allowing for those individuals to consent to AI profiling. In this reply, I address both of these alleged problems and their underlying assumptions and show why they fail to provide any reasons not to introduce the suggested right.
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[1]  
Holm S(2023)Should people have a right not to be subjected to AI profiling based on publicly available data? A comment on Ploug Philosophy & Technology 36 38-218
[2]  
Ploug T(2023)The right not to be subjected to AI profiling based on publicly available data—Privacy and the exceptionalism of AI profiling Philosophy & Technology 36 14-236
[3]  
Ploug T(2012)Informed consent and routinisation Journal of Medical Ethics 39 214-732
[4]  
Holm S(2015)Meta consent: A flexible and autonomous way of obtaining informed consent for secondary research BMJ 350 h2146-undefined
[5]  
Ploug T(2015)Routinisation of informed consent in online health care systems International Journal of Medical Informatics 84 229-undefined
[6]  
Holm S(2016)Meta consent – A flexible solution to the problem of secondary use of health data Bioethics 30 721-undefined
[7]  
Ploug T(2017)Instagram photos reveal predictive markers of depression EPJ Data Science 6 15-undefined
[8]  
Holm S(2017)Forecasting the onset and course of mental illness with Twitter data Scientific Reports 7 1-undefined
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