Machine Vision Transparency
Thursday, 24 September 2020 4:00 PM CET (10:00 AM ET)
by Joanna Isabelle Olszewska (University of the West of Scotland, UK)
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Machine vision systems become pervasive in our Society, from industrial to human-centered applications. Therefore, such intelligent vision systems, which automatically process visual inputs such as raw still images, live video feeds, etc., must be both efficient and ethical. In this talk, developed solutions and algorithms based on explainable artificial intelligence and transparent computer vision approaches are presented.
Joanna Isabelle Olszewska BSc(Hons) MSc(EPFL) PhD(UCL) CEng CSci FBCS FHEA is a British Computer Scientist. She is an Assistant Professor (Lecturer) with UWS, UK, and leads research in Algorithms and Softwares for Intelligent Vision Systems.
She is a member of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. She has been invited to be Panel Speaker at the University of Edinburgh Union Debate on ‘The Future of AI’. She is ACM Distinguished Speaker and has given talks, e.g. at the University of Cambridge, at conferences such as ICRA, and at events such as EPSRC/BMVA Technical Days and DDD Scotland, as well as interviews, e.g. for the BBC Lunch Time ‘Women in Engineering’ Program. She has been TPC member of over 80 international conferences such as IJCAI and chaired over 60 conference/workshop sessions, e.g. at IROS.
Dr Olszewska holds several awards, including the Silver Medal for her taught lectures on the Moodle e-learning platform, and she has authored more than 70 peer-reviewed publications.