Beyond Deception: Exploiting Deepfake Technology for Ethical Innovation in Healthcare
The significant growth in deepfake technology has triggered concerns over its potential for misuse and ethical consequences.While current literature primarily highlights these risks, this paper offers a unique perspective by exploring the beneficial applications of deepfakes in healthcare.We aim to shift the focus from negative to positive uses, demonstrating how deepfakes can promote ethical innovation and make substantial contributions to the healthcare sector.This study presents the possibilities of deepfake technology as an opportunity to promote ethical innovation that can substantially impact healthcare.Specifically, we examine how deepfakes can facilitate the creation of realistic patient personas to enhance the efficacy of communication and empathy training for healthcare professionals.Furthermore, we evaluate the technology's potential to generate realistic simulations for medical training, diagnosis, and treatment planning.We also explore the creative application of deepfakes in anonymising video records of patients.By altering the facial features of individuals in images or videos while preserving their expressions, this technology ensures patient privacy while capitalising on facial cues for diagnostic and therapeutic purposes.The integration of deepfakes in health care requires a thoughtful and ethical approach.It is essential to establish regulatory frameworks to ensure the responsible use of deepfakes in these critical domains.This paper addresses these ethical considerations, emphasising the importance of transparency and informed consent when employing deepfake technology in sensitive healthcare environments.
Authors
- Xiaoxia Wang (ORCID: https://orcid.org/0000-0003-4743-1994)
- Achhardeep Kaur (ORCID: https://orcid.org/0000-0002-9198-1072)
- Feng Xia (ORCID: https://orcid.org/0000-0002-8324-1859)
- Azadeh Noori Hoshyar (ORCID: https://orcid.org/0000-0001-7729-8907)
Institutions
- Federation University (AU)
- RMIT University (AU)
Publication Details
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1145/3688868.3689196
- Citations
- 5
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 2.63