Organizing Unit
University of Stirling – Ras Al Khaimah Campus
Faculty of Natural Sciences / Research and Innovation Committee (RIC)
Speaker
Dr. Jayanta Banerjee
Deputy Head and Associate Professor
City University Ajman, UAE
Date
04th October 2025
Venue
University of Stirling – Ras Al Khaimah Campus
Target Participants
Students, faculty members, researchers, and academic professionals from Computing, Data Science & Artificial Intelligence, Management, and interdisciplinary academic programs.
Objectives of the Event
- To create awareness regarding the ethical integration of Artificial Intelligence in academic and scientific research.
- To provide insights into responsible AI usage, transparency, and accountability in research practices.
- To strengthen participants’ understanding of ethical challenges associated with AI-driven research methodologies.
- To encourage ethical data handling, academic integrity, and responsible innovation in AI applications.
- To promote interdisciplinary discussions on ethical frameworks, governance, and emerging AI technologies in research.
Description of the Event
The University of Stirling – Ras Al Khaimah Campus organized a Guest Lecture on “Integrating AI Ethically in Research” as part of its continuous efforts to strengthen research excellence, innovation, and responsible use of emerging technologies within academic environments.
The session was delivered by Dr. Jayanta Banerjee, Deputy Head and Associate Professor at City University Ajman, UAE.
The lecture focused on the growing influence of Artificial Intelligence in academic research and the importance of adopting ethical principles while integrating AI-driven tools, methodologies, and analytical systems into scholarly work.
During the session, the speaker discussed the evolving role of AI in modern research practices, including literature review automation, predictive analytics, intelligent data processing, generative AI applications, and decision-support systems.
Particular emphasis was placed on ethical considerations such as transparency, bias mitigation, explainability, accountability, data privacy, intellectual property concerns, and responsible use of AI-generated content in academic publications.
The lecture further highlighted the importance of maintaining academic integrity and research authenticity while utilizing AI tools for data analysis, content generation, and research support activities.
Participants were introduced to ethical frameworks, governance mechanisms, and international perspectives regarding the responsible adoption of AI technologies in higher education and research ecosystems.
Real-world examples and case-based discussions enabled participants to critically evaluate both the opportunities and challenges associated with AI-assisted research.
The interactive nature of the session encouraged meaningful discussions among students and faculty members regarding ethical AI implementation, regulatory considerations, and the future of responsible research innovation.
Key Activities Conducted
- Expert lecture on ethical integration of AI in research.
- Discussion on responsible AI practices and academic integrity.
- Overview of AI-driven research tools and emerging technologies.
- Awareness session on bias, transparency, explainability, and accountability in AI systems.
- Discussion on ethical governance, data privacy, and intellectual property concerns.
- Interactive question-and-answer session with students and faculty members.
Outcomes and Impact
The guest lecture significantly enhanced participants’ understanding of ethical AI integration within academic and research environments.
Students and faculty members gained valuable insights into responsible AI usage, ethical research methodologies, and the importance of maintaining transparency and integrity while adopting AI technologies in scholarly activities.
The session strengthened awareness regarding ethical risks associated with AI-assisted research, including bias, misinformation, plagiarism, and data privacy concerns.
Participants also developed a deeper understanding of ethical governance frameworks and best practices required for the responsible application of AI in interdisciplinary research domains.
The event encouraged critical thinking, ethical awareness, and research-driven innovation while motivating participants to adopt responsible and sustainable AI practices within academic and professional contexts.
The session further contributed toward fostering a culture of ethical research, digital responsibility, and evidence-based inquiry within the institution.
Conclusion
The Guest Lecture on “Integrating AI Ethically in Research” was an insightful and academically enriching session that successfully addressed the ethical dimensions of Artificial Intelligence in modern research practices.
The session provided participants with valuable knowledge regarding responsible AI adoption, academic integrity, and ethical governance while reinforcing the institution’s commitment toward innovation, ethical scholarship, and research excellence.
Acknowledgement
The University of Stirling – Ras Al Khaimah Campus extends its sincere appreciation to Dr. Jayanta Banerjee for delivering an insightful and impactful guest lecture on ethical AI integration in research.
The institution also acknowledges the efforts of the Faculty of Natural Sciences, Research and Innovation Committee (RIC), faculty members, and participating students for their active involvement and contribution toward the successful organization of the event.