Dr. Utku Kose

Title: Blurred Technology: Roadmaps for Artificial Intelligence and Bioengineering


Dr. Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. Following, he has also worked as a Lecturer and Vocational School – Vice Director in Afyon Kocatepe University between 2011 and 2012, as a Lecturer and Research Center Director in Usak University between 2012 and 2017, and as an Assistant Professor in Suleyman Demirel University between 2017 and 2019. Currently, he is an Associate Professor in Suleyman Demirel University, Turkey. He has more than 200 publications including articles, authored and edited books, proceedings, and reports. He is also in editorial boards of many scientific journals and serves as one of the editors of the Biomedical and Robotics Healthcare book series by CRC Press. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.


As James Bridle points that current technological developments lead the humankind to a future with complex tools, which are beyond our interpreting capabilities. As humans, we no longer understand the underlying working mechanisms of advanced technological tools in our daily life. As saying ‘cloud computing’ or ‘smart phone’, we just cover all details and enjoy outcomes, which are under the responsibility of algorithms. That situation becomes more critical when we think about engineering applications and further developments to build a sustainable future. Bridle matches that situation with the term: dark new age, and recall the humankind to think about ‘blurred technology’. In this speech, the term of blurred technology will be associated with Artificial Intelligence and its role in bioengineering applications. Discussing about especially Deep Learning, the speech will ask: how can we deal with black-box models not to cause blurred technological tools in critical problem areas? The roadmaps in this manner will include use of Explainable Artificial Intelligence (XAI), potential of synthetic data, and possible data-oriented issues (i.e. bias, adversarial examples) for application areas such as medical diagnosis, treatment planning, drug discovery and human-robot interaction. All these roadmaps will be blended with potential research ideas by the speaker. The speech encourages all valuable participants to keep an active brain-storming.