Artificial Intelligence, Social Media and Depression. A New Concept of Health-Related Digital Autonomy.
The development of artificial intelligence (AI) in medicine raises fundamental ethical issues. As one example, AI systems in the field of mental health successfully detect signs of mental disorders, such as depression, by using data from social media. These AI depression detectors (AIDDs) identify u...
| Publicado en: | American Journal of Bioethics Vol. 21; no. 7; pp. 4 - 21 |
|---|---|
| Autores principales: | , , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jul2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151045654&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151045654 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15265161 FKZ jtl: American Journal of Bioethics issn: 15265161 maglogo: N pubinfo: dt: Jul2021 vid: 21 iid: 7 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 151045654 147900822 151045654 151045654 10.1080/15265161.2020.1863515 151045654 ppf: 4 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial Intelligence, Social Media and Depression. A New Concept of Health-Related Digital Autonomy. aug: au: Laacke, Sebastian Mueller, Regina Schomerus, Georg Salloch, Sabine affil: University Medicine Greifswald sug: subj: Artificial Intelligence Ethical Issues Social Media Utilization Depression Diagnosis Mental Health Patient Autonomy Bioethics Mental Disorders Diagnosis Depression Risk Factors Risk Assessment Discussion Medicine ab: The development of artificial intelligence (AI) in medicine raises fundamental ethical issues. As one example, AI systems in the field of mental health successfully detect signs of mental disorders, such as depression, by using data from social media. These AI depression detectors (AIDDs) identify users who are at risk of depression prior to any contact with the healthcare system. The article focuses on the ethical implications of AIDDs regarding affected users' health-related autonomy. Firstly, it presents the (ethical) discussion of AI in medicine and, specifically, in mental health. Secondly, two models of AIDDs using social media data and different usage scenarios are introduced. Thirdly, the concept of patient autonomy, according to Beauchamp and Childress, is critically discussed. Since this concept does not encompass the specific challenges linked with the digital context of AIDDs in social media sufficiently, the current analysis suggests, finally, an extended concept of health-related digital autonomy. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|