Transparency and Accountability for Robots and Artificial Intelligence Systems
As Autonomous and Intelligent Systems are spreading across several industry and service sectors, the public, the users, the designers, policy makers and lawmakers need to understand who is responsible for the behavior and the decisions made by such systems. This course explains the basic concepts of transparency and accountability and how these can be translated, and applied, in the context of Autonomous and Intelligent Systems.
What you will learn:
- Explain transparency in the context of robots and Artificial intelligence
- Describe the notion of accountability and how to address it in Autonomous and intelligent systems
This course is part of the following course program:
Artificial Intelligence and Ethics in Design: Responsible Innovation
Courses included in this program:
Who should attend: Data engineer, AI/ML engineer, Design engineer, Computer engineer, Security engineer, Software engineer
Instructors
Alan Winfield
Alan Winfield is a Professor of Robot Ethics at the University of the West of England, Bristol, United Kingdom, and Visiting Professor at the University of York. He co-founded the Bristol Robotics Laboratory where his research is focused on the science, engineering and ethics of cognitive robotics. Alan is an advocate for robot ethics; he was a member of the British Standards Institute working group that drafted BS 8611: Guide to the Ethical Design of Robots and Robotic Systems, and he chairs IEEE Standards Association Working Group P7001, drafting a new standard on Transparency in Autonomous Systems. Alan has published over 200 works, including Robotics: A Very Short Introduction, Oxford University Press, 201); he lectures widely on robotics, presenting to both academic and public audiences.
Raja Chatila
Raja Chatila is a Professor of Artificial Intelligence, Robotics and Ethics at Sorbonne Université, Paris, France. He is director of the Institute of Intelligent Systems and Robotics and leads the SMART Laboratory of Excellence on Human-Machine Interactions. He contributed in several areas of Artificial Intelligence and autonomous and interactive Robotics along his career and he’s author of over 160 publications. His research interests focus currently on human-robot interaction and robot learning. Raja Chatila is chair of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems and co-chair of the methodologies for ethical research and design committee. He is member of the Commission on the Ethics of Research on Digital Science and Technology in France. He was President of the IEEE Robotics and Automation Society in 2014-2015. He is IEEE Fellow and recipient of the IEEE Robotics and Automation Society Pioneer Award.
Publication Year: 2018
ISBN: 978-1-5386-0042-9