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Discussion Competition with Elementary School Pupils
Robot technology, especially artificial intelligence (AI) technology, is advancing rapidly. Concerns coexist about the ethical issues that these developments raise. This raises the need for a discussion on robot ethics.
Students are users/consumers of robot technology and developers of the future. Through education and active discussion on robot ethics in childhood, ethical dilemmas and issues faced in the coexistence of humans and robots are considered, and this contributes to the design of a desirable future for coexistence of humans and robots.
Elementary school students related to robot ethics will be held in English. Preliminary rounds (recommended by 11 education offices in Seoul area), semi-finals and finals (run in the COEX on-site conference room) will be held and awarded.
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Human Robot Interaction
Advances in robotics technology and the rapid evolution of AI and IoT over the past few years have gone far beyond the traditional level of robotics and AI systems, and are rapidly being applied to various fields of life.
This situation inevitably promotes the need for discussions related to the construction of robotic and AI systems in which robotic systems interact with humans in various fields. Therefore, in relation to human-robot interaction, we discuss the ethical interactions of robotic systems and the impact of robotic systems on different types of people, especially vulnerable groups.
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Standardisation of Robot Systems and Evaluations
The ability to build robotic systems used in everyday life has expanded over the years. However, the ability to build robotic systems that can account for and evaluate the various ethical considerations that may arise during operation has not kept pace.
This session will discuss how to build and evaluate ethical robotic systems at all levels of robotics, while allowing users to interact with new and existing technologies, or for legislators to establish actionable standards and regulations.
Trusting Artificial Intelligent systems: Technical, Legal and Philosophical Insights
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19th July 2022
Organizer: Maria Isabel Aldinhas Ferreira
Centre of Philosophy of the University of Lisbon
and
Institute for Systems and Robotics- Instituto Superior Técnico University of Lisbon. Lisbon. Portugal
CHAIR: Sarah Fletcher
Cranfield University. United Kingdom
Trust is a complex multi-layered concept that in the context of Artificial Intelligent Systems should be mainly translated by the individual’s confidence in the technology’s compliance to defined standards guaranteeing its reliability as well as its ability to safely and adequately accomplish the previously defined expected goals. This confidence stands on three fundamental milestones of the processual pipeline: Benchmarking, Standardisation and Certification.
But this “trust- building” also demands an educated and critical view on the side of the end-users as having too little trust in highly capable technology can lead to its underutilization, undermining development and progress in many domains, while too much trust and overreliance on AIs poses enormous risks and potential individual and societal collateral damages.
The present session will discuss this complex framework focusing particularly on how trust builds in what concerns both embodied and non-embodied artificial intelligent systems.
Speakers:
Alan Winfield, Bristol Robotics Laboratory & Science Communication Unit, University of the West of England, Bristol
keynote: Why we should not trust AI systems.
Fabio Bonsignorio– ERA Chair in AI for Robotics, FER, University of Zagreb, Croatia and CEO and Founder Heron Robots, Italy.
keynote: Reproducibility, Benchmarking and Trust
Maria Isabel Aldinhas Ferreira, Centre of Philosophy of the University of Lisbon and Institute for Systems and Robotics, IST. University of Lisbon
keynote: For the Sake of Trust
Nico Hochgeschwender, Bonn-Rhein-Sieg University of Applied Sciences, Institute for Artificial Intelligence and Autonomous Systems. Germany
keynote: Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots
Rodolphe Gélin, AI Expert Leader at Renault. France
keynote: Confiance.ai project : software engineering for a trustworthy AI
Roeland de Bruin LL.M., Utrecht University (Center for Access to and Acceptance of Autonomous Intelligence, Research Groups RENFORCE and UCALL), and attorney-at-law (advocaat) “law, technology regulation and AI” fo KienhuisHoving NV.
keynote: Trust and AIS uptake: a liability perspective
Selmer Bringsjord– Dir., Rensselaer AI & Reasoning (RAIR) Lab. Renssalaer Polytechnic Institute. US
keynote: On a Family of Theorems Regarding Trustworthiness in Artificial Agents