To Deepfake or Not to Deepfake: Higher Education Stakeholders' Perceptions and Intentions towards Synthetic Media
Project Overview
The document explores the role of generative AI, particularly deepfake technologies, in higher education, highlighting both its potential advantages and the associated challenges. Stakeholders recognize that these technologies can enhance student engagement and improve accessibility, but they also raise serious ethical concerns, including the exploitation of academic labor and the potential erosion of human relationships in educational settings. To address these issues, the document proposes a comprehensive framework for the responsible implementation of deepfake technologies, which includes the establishment of institutional policies, professional development for educators, and ensuring equitable access to resources. This approach aims to balance the innovative use of generative AI with the need to uphold academic integrity and foster a supportive educational environment. Overall, while generative AI offers promising applications in education, careful consideration of its implications is essential for its effective and ethical integration.
Key Applications
Deepfake technologies for creating engaging educational content, including virtual interactions with historical figures.
Context: Higher education settings, targeting educators, researchers, and administrators.
Implementation: Mixed-methods approach combining quantitative surveys and qualitative interviews to gauge perceptions and intentions.
Outcomes: Potential benefits include enhanced engagement and accessibility; however, concerns about ethical misuse and diminished human interaction exist.
Challenges: Low intention to adopt among stakeholders due to ethical concerns and potential for exploitation.
Implementation Barriers
Ethical
Concerns about the misuse of deepfake technology, including exploitation of academic labor and degradation of relationships in education.
Proposed Solutions: Development of clear institutional policies and governance structures addressing ethical use and consent.
Resource Inequity
Disparities in access to deepfake technologies based on institutional resources may exacerbate educational inequalities.
Proposed Solutions: Prioritize equity in resource allocation and conduct pilot studies to evaluate the impact of deepfake technologies.
Project Team
Jasper Roe
Researcher
Mike Perkins
Researcher
Klaire Somoray
Researcher
Dan Miller
Researcher
Leon Furze
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Jasper Roe, Mike Perkins, Klaire Somoray, Dan Miller, Leon Furze
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai