Rakibul Hasan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Rakibul Hasan has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Arto Ojala
University of Vaasa
2 shared publications - Ausma Bernot
Griffith University
1 shared publication - Brendan Walker-Munro
Faculty of Business, Law & The Arts, Southern Cross University, Coolangatta, Australia
1 shared publication - Mia-Kristina Lager
University of Vaasa
1 shared publication - Milind Tiwari
Charles Sturt University
1 shared publication - Park Thaichon
University of Southern Queensland
1 shared publication
Latest Publications
- Open Access
- 8 July 2026
- Published by Taylor & Francis in Information, Communication & Society
- p. 1-19
Typology of transparency as best practice: evidence from facial recognition technologies in Australia
1. Facial Recognition Technologies (FRTs) are increasingly used across Australia’s private and government sectors, including in security, retail, entertainment, healthcare, and public-private servi...
- 8 July 2026
- Published by Taylor & Francis in Information, Communication & Society
- p. 1-19
Open AccessTypology of transparency as best practice: evidence from facial recognition technologies in Australia
1. Facial Recognition Technologies (FRTs) are increasingly used across Australia’s private and government sectors, including in security, retail, entertainment, healthcare, and public-private servi...
- 1 January 2025
- Published by Springer Nature
- p. 275-295
Responsible Use of Artificial Intelligence in International Marketing: A Comparative Analysis of Multinational Enterprises
- 1 January 2025
- Published by Springer Nature
- p. 275-295
Responsible Use of Artificial Intelligence in International Marketing: A Comparative Analysis of Multinational Enterprises
- Open Access
- 1 January 2025
- Published by HICSS Conference Office
The Dark Side of AI Anthropomorphism: A Case of Misplaced Trustworthiness in Service Provisions
Anthropomorphism, the attribution of human-like traits, qualities, and mental states to non-human agents, is increasingly ubiquitous in artificial intelligence (AI) applications within service provisions. While imbuing anthropomorphism into AI agents enhances user interaction, it also has a dark side that poses significant ethical concerns by potentially causing harm to consumers. In response, our study constructs a framework to explain how anthropomorphic features in AI agents can lead to misplaced trustworthiness among consumers. We adopt a sociotechnical perspective and employ a case study design to achieve this. Our findings hope to advance the social sustainability of AI to promote responsible production and consumption patterns in global service markets.
- 1 January 2025
- Published by HICSS Conference Office
Open AccessThe Dark Side of AI Anthropomorphism: A Case of Misplaced Trustworthiness in Service Provisions
Anthropomorphism, the attribution of human-like traits, qualities, and mental states to non-human agents, is increasingly ubiquitous in artificial intelligence (AI) applications within service provisions. While imbuing anthropomorphism into AI agents enhances user interaction, it also has a dark side that poses significant ethical concerns by potentially causing harm to consumers. In response, our study constructs a framework to explain how anthropomorphic features in AI agents can lead to misplaced trustworthiness among consumers. We adopt a sociotechnical perspective and employ a case study design to achieve this. Our findings hope to advance the social sustainability of AI to promote responsible production and consumption patterns in global service markets.