The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health

Rui Liu, Suraksha Gupta, Parth Patel

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Social media enables medical professionals and authorities to share, disseminate, monitor, and manage health-related information digitally through online communities such as Twitter and Facebook. Simultaneously, artificial intelligence (AI) powered social media offers digital capabilities for organizations to select, screen, detect and predict problems with possible solutions through digital health data. Both the patients and healthcare professionals have benefited from such improvements. However, arising ethical concerns related to the use of AI raised by stakeholders need scrutiny which could help organizations obtain trust, minimize privacy invasion, and eventually facilitate the responsible success of AI-enabled social media operations. This paper examines the impact of responsible AI on businesses using insights from analysis of 25 in-depth interviews of health care professionals. The exploratory analysis conducted revealed that abiding by the responsible AI principles can allow healthcare businesses to better take advantage of the improved effectiveness of their social media marketing initiatives with their users. The analysis is further used to offer research propositions and conclusions, and the contributions and limitations of the study have been discussed.
Original languageEnglish
JournalInformation Systems Frontiers
DOIs
Publication statusPublished - 1 Jan 2021

Keywords

  • Consumer trust theory
  • Digital health
  • Information sharing theory
  • Responsible AI
  • Social media marketing
  • Technology acceptance model

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