Ethical Issues Raised by the Introduction of Artificial Companions to Older Adults with Cognitive Impairment: A Call for Interdisciplinary Collaborations.

TitleEthical Issues Raised by the Introduction of Artificial Companions to Older Adults with Cognitive Impairment: A Call for Interdisciplinary Collaborations.
Publication TypeJournal Article
Year of Publication2020
AuthorsPortacolone, E, Halpern, J, Luxenberg, J, Harrison, KL, Covinsky, KE
JournalJ Alzheimers Dis
Volume76
Issue2
Pagination445-455
Date Published2020
ISSN1875-8908
KeywordsAged, Animals, Artificial Intelligence, Cats, Cognitive Dysfunction, Dogs, Friends, Humans, Patient Care Team, Robotics
Abstract

Due to the high costs of providing long-term care to older adults with cognitive impairment, artificial companions are increasingly considered as a cost-efficient way to provide support. Artificial companions can comfort, entertain, and inform, and even induce a sense of being in a close relationship. Sensors and algorithms are increasingly leading to applications that exude a life-like feel. We focus on a case study of an artificial companion for people with cognitive impairment. This companion is an avatar on an electronic tablet that is displayed as a dog or a cat. Whereas artificial intelligence guides most artificial companions, this application also relies on technicians "behind" the on-screen avatar, who via surveillance, interact with users. This case is notable because it particularly illustrates the tension between the endless opportunities offered by technology and the ethical issues stemming from limited regulations. Reviewing the case through the lens of biomedical ethics, concerns of deception, monitoring and tracking, as well as informed consent and social isolation are raised by the introduction of this technology to users with cognitive impairment. We provide a detailed description of the case, review the main ethical issues and present two theoretical frameworks, the "human-driven technology" platform and the emancipatory gerontology framework, to inform the design of future applications.

DOI10.3233/JAD-190952
Alternate JournalJ Alzheimers Dis
PubMed ID32250295
PubMed Central IDPMC7437496
Grant ListK01 AG059831 / AG / NIA NIH HHS / United States
L30 AG060590 / AG / NIA NIH HHS / United States
K01 AG049102 / AG / NIA NIH HHS / United States
R56 AG062165 / AG / NIA NIH HHS / United States
P30 AG044281 / AG / NIA NIH HHS / United States