Tutorials
The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.
Intelligent Vision Systems: Techniques and Ethics
Instructor
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Joanna Isabelle Olszewska
University of the West of Scotland
United Kingdom
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Brief Bio
Dr Joanna Olszewska BSc(Hons) MSc(EPFL) PhD(UCL) CEng CSci FBCS FHEA is a British Computer Scientist. She is an Asst. Professor with UWS, UK, and leads research in Algorithms and Softwares for Trustworthy Intelligent Vision Systems. Senior Member of IEEE, she stands on the IEEE AI Standard Committee and she is part of the IEEE Global Initiative for Ethical Considerations in AI and Autonomous Systems. She is Co-Chair of the IEEE RAS Technical Committee on the Verification of Autonomous Systems. ACM Distinguished Speaker, she has participated in panels about the Future of AI and standardization efforts in robotics and autonomous systems (e.g. at ICRA). She has delivered invited talks (e.g. at the Canadian Mathematical Society, ENS Paris, DDD Scotland Industry forum), keynote talks (e.g. at SBESC), tutorials at conferences (e.g. at ICAART), webinars (e.g. at IEEE) as well as podcasts (e.g. at BCS) and interviews (e.g. at BBC). She has been TPC member of over 100 international conferences (e.g. IJCAI) and has chaired over 70 webinars/seminars/workshops (e.g. IROS). She has served as Technical Program Chair of the IEEE International Conference on Engineering Reliable Autonomous Systems (ERAS). She has been appointed Guest Editor for the Knowledge Engineering Review Journal, Cambridge University Press, and Associate Editor for the Frontiers in Artificial Intelligence journal, the Engineering Applications of Artificial Intelligence journal, and the Machine Learning with Applications journal, Elsevier. Fellow of the British Computer Society, Chartered Engineer, Chartered Scientist, and Fellow of StandICT.eu, she has contributed to 20+ ISO/IEC/IEEE standards in various roles, e.g. Vice-Chair of ISO/IEC/IEEE 41062. She has published 150+ papers and one book – ‘Artificial Intelligence and Software Testing: Building systems you can trust’ – winner of the Independent Press Award.
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Abstract
Intelligent Vision Systems, which are systems able to automatically process visual inputs such as raw still pictures or live video feeds, whatever they are equipped with camera(s) or directly access image databases, have become ubiquitous in our Society. Indeed, they can be found in a multitude of real-world applications such as video surveillance, m-health services, drones, companion robots, etc. Therefore, such intelligent vision systems must be both efficient and ethical. Thus, this tutorial introduces the topic of intelligent vision systems in light of the main technical and ethical challenges in that research field and the developed solutions and standards based on explainable artificial intelligence and transparent computer vision approaches.
Keywords
Explainable AI (XAI), Transparency and Ethical Issues, Privacy, Safety and Security, Image and Video Processing, Image and Video Analysis and Understanding, Pattern Recognition, Vision and Perception, Machine Learning, Knowledge Representation and Reasoning, Robotics, Autonomous Systems, Intelligent Agents.
Aims and Learning Objectives
This tutorial aims to present the ‘why’ and ‘how’ to develop reliable intelligent vision systems deployed in constrained and unconstrained environments.
Participants are expected to acquire new perspectives about intelligent vision systems’ challenges and their related solutions. In more detail, the objectives of this tutorial are:
I) To appreciate intelligent vision systems’ challenges in terms of performance and compliance;
II) To understand the corresponding solutions for the intelligent vision systems’ design;
III) To get new trends and future directions of the Intelligent Vision Systems research and development.
Target Audience
This tutorial is intended for a broad spectrum of participants both from academia and industry.
Prerequisite Knowledge of Audience
None
Detailed Outline
The tentative list of the topics covered by this tutorial is:
a) Intelligent Vision Systems: Definition & Applications
b) Technical Challenges of Intelligent Vision Systems
c) Ethical Challenges of Intelligent Vision Systems
d) Solutions and Standards