Research Integrity & Responsible Use of GenAI (1 of 4) скачать в хорошем качестве

Research Integrity & Responsible Use of GenAI (1 of 4)

Dr Tomáš Foltýnek, Masaryk University, Czechia, Department of Machine Learning and Data Processing, presents on "Generative AI, Large Language Models and Integrity Implications for Research". Outline: The integration of generative AI and large language models (LLMs) into research workflows presents both opportunities and challenges. This talk will begin with a concise and accessible explanation of the underlying technologies, ensuring clarity for a non-technical audience. The focus will then shift to the ethical implications of using AI tools across different phases of the research process. Key ethical issues will be addressed, including the potential for bias in AI models, the challenges of transparency and explainability in complex systems, and the importance of protecting data privacy and securing proper consent when working with sensitive datasets. Additionally, I will explore the impacts of AI on research reproducibility and integrity, particularly when AI systems generate non-deterministic outputs. The talk will also cover the broader regulatory and legal implications of AI use in research, along with the importance of interdisciplinary collaboration between AI experts and domain researchers to ensure the ethical and effective use of these tools. Finally, I will propose some solutions to these ethical concerns, such as thorough verification of LLM outputs, proper testing, a focus on responsibility and accountability, and improvements to review processes. Speaker Bio: Dr Tomáš Foltýnek is an assistant professor at the Department of Machine Learning and Data Processing at the Faculty of Informatics and a member of the Ethical Committee for Research at Masaryk University, Czechia. He is President of the Board of the European Network for Academic Integrity, and leader of the working group dedicated to Technology and Academic Integrity. He is also a vice-chair of the Bureau of the Council of Europe’s Pan-European Platform for Ethics, Transparency, and Integrity in Education (ETINED), and a head of the Working Committee on Ethics in Scientific and Pedagogical Work within the Council of Higher Education Institutions in Czechia. His research activities involved plagiarism detection and prevention, academic integrity policies and ethical use of artificial intelligence in education. He has led several national and international projects on academic integrity, namely plagiarism prevention. Since 2013 he has been organising conferences on this topic.