Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media
Project Overview
The document explores the role of generative AI, particularly deepfakes, in higher education, underscoring both the challenges and opportunities these technologies present. It emphasizes the necessity for educational institutions to devise strategies to mitigate the risks associated with deepfakes, such as threats to academic integrity and institutional reputation. The paper reviews existing literature, identifying key trends in detection methods, malicious applications, and potential positive uses of deepfakes in educational contexts. It proposes a research agenda aimed at further investigating the implications of deepfakes on the educational landscape, while also highlighting the ethical considerations that arise from their use in teaching. Overall, the document advocates for a balanced approach to generative AI in education, seeking to harness its benefits while managing its risks effectively.
Key Applications
Deepfake technology for immersive and personalized educational experiences
Context: Higher education institutions, tourism education, targeting students, educators, museum visitors, and general audiences seeking enhanced learning experiences.
Implementation: Utilizing deepfake technology to create synthetic videos featuring avatars of educators, guest experts, or historical figures. This includes personalized presentations and immersive narratives that engage learners with complex subjects or artistic works.
Outcomes: ['Enhanced engagement and understanding of complex subjects through interactive and immersive experiences.', 'Increased accessibility and personalized interaction in educational content.', 'Engaging museum visitors by allowing them to learn directly from simulated versions of historical figures.']
Challenges: ['Ethical considerations regarding authenticity and student perceptions of AI-generated content.', 'Concerns over the credibility of AI-generated content and the need for transparency in its use.', "Potential ethical issues related to using a deceased individual's likeness without consent."]
Implementation Barriers
Ethical
Concerns regarding the authenticity and potential deception of AI-generated content.
Proposed Solutions: Developing strict ethical guidelines for the use of synthetic media in education.
Technical
The challenge of reliably detecting deepfakes and distinguishing them from genuine content.
Proposed Solutions: Investing in research on detection technologies and educating stakeholders on identifying deepfakes.
Reputational
The potential for deepfakes to damage the reputation and trustworthiness of educational institutions.
Proposed Solutions: Implementing crisis management strategies and proactive communication plans to mitigate reputational risks.
Project Team
Jasper Roe
Researcher
Mike Perkins
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Jasper Roe, Mike Perkins
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