Artificial Intelligence, Social Media and Depression. A New Concept of Health-Related Digital Autonomy
American Journal of Bioethics 21 (7):4-20 (2021)
Abstract
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.DOI
10.1080/15265161.2020.1863515
My notes
Similar books and articles
Empowerment or Engagement? Digital Health Technologies for Mental Healthcare.Christopher Burr & Jessica Morley - 2020 - In Christopher Burr & Silvia Milano (eds.), The 2019 Yearbook of the Digital Ethics Lab. pp. 67-88.
Digital psychiatry: ethical risks and opportunities for public health and well-being.Christopher Burr, Jessica Morley, Mariarosaria Taddeo & Luciano Floridi - 2020 - IEEE Transactions on Technology and Society 1 (1):21–33.
Philosophical problems of transformation of media space under the influence of digital technologies.Sergey Dovgal, Oksana Buturlina & Tatiana Tukhtarova - 2020 - Granì 23 (1-2):40-48.
The ethics of digital well-being: a thematic review.Christopher Burr, Mariarosaria Taddeo & Luciano Floridi - 2020 - Science and Engineering Ethics 26 (4):2313–2343.
Should Artificial Intelligence Augment Medical Decision Making? The Case for an Autonomy Algorithm.Camillo Lamanna - 2018 - AMA Journal of Ethics 9 (20):E902-910.
Digitization: New trajectories of mediatization?Niels Ole Finnemann - 2014 - In Handbook of Communication:Mediatization of Communication. Berlin, Tyskland: pp. Pages: 297–322.
Ethics of Artificial Intelligence.Vincent C. Müller - 2021 - In Anthony Elliott (ed.), The Routledge social science handbook of AI. London: Routledge. pp. 122-137.
Corporatised Identities ≠ Digital Identities: Algorithmic Filtering on Social Media and the Commercialisation of Presentations of Self.Charlie Harry Smith - forthcoming - In Christopher Burr & Luciano Floridi (eds.), Ethics of Digital Well-being: A Multidisciplinary Approach. Springer.
Intelligence, Artificial and Otherwise.Paul Dumouchel - 2019 - Forum Philosophicum: International Journal for Philosophy 24 (2):241-258.
Ethical Considerations for Digitally Targeted Public Health Interventions.Daniel Susser - 2020 - American Journal of Public Health 110 (S3).
Catching up with our changing (digital) world: A comment on Baier.Jeffrey E. Barnett - 2019 - Ethics and Behavior 29 (5):352-358.
The delicate balance of communicational interests: A Bakhtinian view of social media in health care.Chukwuma Ukoha & Andrew Stranieri - 2021 - Journal of Information, Communication and Ethics in Society 19 (2):236-248.
Consciousness, intentionality, and intelligence: Some foundational issues for artificial intelligence.Murat Aydede & Guven Guzeldere - 2000 - Journal of Experimental and Theoretical Artificial Intelligence 12 (3):263-277.
Changes of representational AI concepts induced by embodied autonomy.Erich Prem - 2000 - Communication and Cognition-Artificial Intelligence 17 (3-4):189-208.
Analytics
Added to PP
2021-01-05
Downloads
68 (#177,982)
6 months
10 (#87,923)
2021-01-05
Downloads
68 (#177,982)
6 months
10 (#87,923)
Historical graph of downloads
Citations of this work
Algorithms for Ethical Decision-Making in the Clinic: A Proof of Concept.Lukas J. Meier, Alice Hein, Klaus Diepold & Alena Buyx - 2022 - American Journal of Bioethics 22 (7):4-20.
Black Boxes and Bias in AI Challenge Autonomy.Craig M. Klugman - 2021 - American Journal of Bioethics 21 (7):33-35.
Artificial Intelligence, Social Media, and Suicide Prevention: Principle of Beneficence Besides Respect for Autonomy.Hui Zhang, Yuming Wang, Zhenxiang Zhang, Fangxia Guan, Hongmei Zhang & Zhiping Guo - 2021 - American Journal of Bioethics 21 (7):43-45.
Consultation with Doctor Twitter: Consent Fatigue, and the Role of Developers in Digital Medical Ethics.Robert Ranisch - 2021 - American Journal of Bioethics 21 (7):24-25.
Error, Reliability and Health-Related Digital Autonomy in AI Diagnoses of Social Media Analysis.Ramón Alvarado & Nicolae Morar - 2021 - American Journal of Bioethics 21 (7):26-28.
References found in this work
Principles of Biomedical Ethics: Marking Its Fortieth Anniversary.James Childress & Tom Beauchamp - 2019 - American Journal of Bioethics 19 (11):9-12.
How the machine ‘thinks’: Understanding opacity in machine learning algorithms.Jenna Burrell - 2016 - Big Data and Society 3 (1):205395171562251.
On the ethics of algorithmic decision-making in healthcare.Thomas Grote & Philipp Berens - 2020 - Journal of Medical Ethics 46 (3):205-211.
The ethics of big data: current and foreseeable issues in biomedical contexts.Brent Daniel Mittelstadt & Luciano Floridi - 2016 - Science and Engineering Ethics 22 (2):303–341.
The right to refuse diagnostics and treatment planning by artificial intelligence.Thomas Ploug & Søren Holm - 2020 - Medicine, Health Care and Philosophy 23 (1):107-114.