Ethics of Generative AI Webinar

Friday, 23 June 2023, 12:00 CEST

Join CEPIS for a webinar on the exciting question of the ethics, risks, and potential benefits of generative AI tools like OpenAI’s ChatGPT and Google’s Bard.

CEPIS Board Member, Associate Professor Dr Eryilmaz will be joined by Dr Huma Shah of Coventry University for a discussion, followed by a question and answer session.

Associate Professor Dr Eryilmaz

Associate Professor Dr Eryilmaz currently conducts research on artificial intelligence technologies, augmented reality, data mining, distance education, big data and adaptive learning at the Computer Engineering Department of ATILIM University, Türkiye. She also jointly publishes articles with international institutions on the same and similar topics. She has many publications, scientific articles, national and international conference papers, book chapters, editorials, newspaper, and magazine articles. Furthermore, she has served as an academic advisor to many graduate and doctoral computer engineering and software engineering students. Dr. Eryilmaz is the founding member of the Academic Informatics Foundation (ABV) Türkiye and the member of Executive Board of Informatics Association of Türkiye (IAT). She is the board director of  the Council of European Professional Informatics Societies (CEPIS) and the group chair of the CEPIS Information Society Expert Group.

Dr Huma Shah

Dr. Huma Shah gained her PhD in ‘Deception-detection and machine intelligence in Practical Turing tests’ from Reading University in 2011. She worked on the EU FP7 funded ‘RoboLaw’ project 2012-2014. She joined Coventry University in 2014 where she has taught ‘AI, Creativity and Ethics’ at undergraduate and postgraduate level, she also supervises a PhD student researching ‘privacy in games’. She is Director of Science (Co-Investigator) on a Coventry University-led, nine partner international consortium delivering the EU Horizon2020 research and innovation funded project (CSI-COP) concerned with online data-privacy. The CSI-COP project applies a citizen science approach to investigate tracking-by-default and GDPR compliance in website cookies and smart phone apps. CSI-COP won the ‘Best Innovative Privacy Project’ category in the inaugural Privacy, InfoSec, Culture, Change, Awareness, Societal, Organisation PICCASO awards: More information on the EU Horizon2020 CSI-COP project website:


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