Information, collaboration, regulation: Physician and AI researcher views on ethical considerations in clinical AI integration [0.03%]
信息、合作和监管：医师与人工智能研究人员在临床人工智能整合中的伦理考量观点
Katie Ryan,Max Kasun,Laura W Roberts et al.
Katie Ryan et al.
Due to the potential scope and impact of artificial intelligence's (AI's) adoption in medicine, a comprehensive assessment of the potential ethical considerations arising during clinical integration is needed. Existing ethical frameworks an...
Because the machine can discriminate: How machine learning serves and transforms biological explanations of human difference [0.03%]
机器可以辨别：机器学习如何服务于并转化对人类差异的生物学解释
Jeffrey W Lockhart
Jeffrey W Lockhart
Research on scientific/intellectual movements, and social movements generally, tends to focus on resources and conditions outside the substance of the movements, such as funding and publication opportunities or the prestige and networks of ...
Digital/computational phenotyping: What are the differences in the science and the ethics? [0.03%]
数字和计算表型分析：科学与伦理的区别是什么？
Federica Lucivero,Nina Hallowell
Federica Lucivero
The concept of 'digital phenotyping' was originally developed by researchers in the mental health field, but it has travelled to other disciplines and areas. This commentary draws upon our experiences of working in two scientific projects t...
Understanding 'passivity' in digital health through imaginaries and experiences of coronavirus disease 2019 contact tracing apps [0.03%]
透过冠病接触者追踪应用程序的构想和体验理解数字健康中的“被动性”
Alessia Costa,Richard Milne
Alessia Costa
Growing interest is being directed to the health applications of so-called 'passive data' collected through wearables and sensors without active input by users. High promises are attached to passive data and their potential to unlock new in...
Richard Milne,Alessia Costa,Natassia Brenman
Richard Milne
In this paper, we examine the practice and promises of digital phenotyping. We build on work on the 'data self' to focus on a medical domain in which the value and nature of knowledge and relations with data have been played out with partic...
Richard Milne,Alessia Costa
Richard Milne
In this piece we explore the COVID pandemic as an opportunity for the articulation and realization of digital health futures. Our discussion draws on an engagement with emergent discourse around COVID-19 and ongoing work on imaginaries of f...
Ideological variation in preferred content and source credibility on Reddit during the COVID-19 pandemic [0.03%]
新冠肺炎疫情期间Reddit上用户的内容偏好与来源可信度的意识形态差异性分析
Wallace Chipidza,Christopher Krewson,Nicole Gatto et al.
Wallace Chipidza et al.
In this exploratory study, we examine political polarization regarding the online discussion of the COVID-19 pandemic. We use data from Reddit to explore the differences in the topics emphasized by different subreddits according to politica...
Political affiliation moderates subjective interpretations of COVID-19 graphs [0.03%]
政治倾向影响人们对COVID-19图表的主观解读
Jonathan D Ericson,William S Albert,Ja-Nae Duane
Jonathan D Ericson
We examined the relationship between political affiliation, perceptual (percentage, slope) estimates, and subjective judgements of disease prevalence and mortality across three chart types. An online survey (N = 787) exposed separate groups...
The data will not save us: Afropessimism and racial antimatter in the COVID-19 pandemic [0.03%]
数据无法拯救我们：“阿非罗悲观主义”与新冠疫情下的种族反物质理论
Anthony Ryan Hatch
Anthony Ryan Hatch
The Trump Administration's governance of COVID-19 racial health disparities data has become a key front in the viral war against the pandemic and racial health injustice. In this paper, I analyze how the COVID-19 pandemic joins an already o...
Phenotyping as disciplinary practice: data infrastructure and the interprofessional conflict over drug use in California [0.03%]
定型化作为学科实践：数据基础设施与加州跨职业药物使用的冲突
Mustafa I Hussain,Geoffrey C Bowker
Mustafa I Hussain
The narrative of the digital phenotype as a transformative vector in healthcare is nearly identical to the concept of "data drivenness" in other fields such as law enforcement. We examine the role of a prescription drug monitoring program (...