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Cited by 21Ethics and Social Impacts of AIPublic Relations and Crisis CommunicationTechnology's Impact on Media

The DOI matches its Crossref record; 37 of the 39 references it cites were found in a registry or an index, and 1 are not checked yet.

A Strategic Communication Practitioner Imperative: Contextualizing Responsible AI as Part of Responsible Advocacy

Germinder, Lea-Ann, Capizzo, Luke·2025·International Journal of Strategic Communication
DOI 10.1080/1553118x.2024.2430959
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Abstract

While a myriad of issues have been raised regarding the operationalization of generative artificial intelligence (AI), the ethical use of AI has received much less attention. This paper proposes the ethical use of generative artificial intelligence (GAI) in line with the ethical advocacy concept based on marketplace theory for public relations [and strategic communication] (RA) and deontological concepts in implementing responsible artificial intelligence (RAI). The paper proposes to examine the use of GAI to extend theorizing of ethics and RA. Based on 21 interviews with strategic communication professionals with a variety of skill sets, this paper examines the challenges and opportunities with the use of GAI in strategic communication, specifically public relations but can be applied to the broader context of strategic communication. It provides a path forward for the ethical use of GAI by both strategic communication and public relations practitioners to adhere to minimum standards to safeguard the communications space. These standards are based on proposed updated definitions of access, process, truth and disclosure and clarifies the importance of their role in using RA in implementing responsible artificial intelligence (RAI) to improve both strategic communications counsel and overall, RAI policies and implementation in organizations.

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Crossref · 10.1080/1553118x.2024.2430959

Cites

37 of 38 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 39 references

Research works printed but not linked: 4

  1. Gregory, A. (2020). The effects of ai on the professions. Chartered Institute of Public Relations [CIPR]. https://www.cipr.co.uk/CIPR/Our_work/Policy/AI_in_PR_/AI_in_PR_guides.aspx
  2. Gregory, A., Valin, J., & Virmani, S. (Eds.). (2023). Humans needed more than ever. An analysis of the use of AI in PR and the impact on public relations work, Chartered Institute of Public Relations. https://www.cipr.co.uk/CIPR/Our_work/Policy/AI_in_PR_/AI_in_PR_guides.aspx
  3. Toth, E. L., & Bourland-David, P. (Eds.). (2023). Navigating change: Recommendations for advancing undergraduate public relations education, Commission for Public Relations Education. https://www.commissionpred.org/navigating-change-recommendations-for-advancing-undergraduate-pr-education-cpre-50th-anniversary-report/
  4. 10.15581/003.28.1.1-12 · doi:10.15581/003.28.1.1-12

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Metadata

Authors
Germinder, L.-A., & Capizzo, L.
Affiliations
  • University of Missouri (US)
  • Michigan State University (US)
Corresponding author
Germinder, Lea-Ann
ORCID
Venue
International Journal of Strategic Communication
Publisher
Informa UK Limited
Published
2024-12-15
Volume
19
Issue
2
Pages
340-356
ISSN
  • 1553-118X (ISSN-L)
  • 1553-1198
DOI
10.1080/1553118x.2024.2430959
OpenAlex
W4405456917
Cited by
21
References
39
Citations by year
2026: 17 · 2025: 4
FWCI
2.19
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Strategic Communication (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Communication › Public Relations and Crisis Communication
  • Social Sciences › Communication › Technology's Impact on Media
Keywords
responsible AI, generative AI, ethical use of AI, public relations ethics, deontology, AI disclosure

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.