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IAS-FRIS
Symposium on Social Robots and Ethical Design

November 14th 2024
 Inamori Hall, Kyushu University
                   Hybrid Event

Keynote Speaker

Prof. Dr. Christoph Lütge

Director, Institute for Ethics in Artificial Intelligence (IEAI), Technical University of Munich

Registration
https://x.gd/g6TuN

About the IAS-FRIS Symposium

Toward Design-centered Governance for Social Robots

​​​The aim of this symposium is to discuss the use of AI ethics standardizations for robot governance. Specifically, the symposium considers challenges to the regulation of AI-enabled technology due to slow legislative processes which have not been able to keep pace with the rapid speed of technological advances. In addition to considering the regulation of critical AI technologies, it also argues for a regulatory framework which relies on non-binding and flexible AI ethics standards to ensure that stakeholders manage ethical, legal, and social implication (ELSI) risks that are inherent in daily human-robot interactions.

By including AI ethics standards into the development process for social robots, robot developers will be able to include principles of responsible innovation and research without conflicting with ‘hard laws’ enacted for robot regulation. Plus, we will explore the approach of ethical robot design, examine its potential and limitations, and demonstrate the utility of ‘ethically aligned design’ and ‘social system design’ frameworks in implementing the concept of "compliance by design".

What you will learn?

01

Branding strategies on regulating emerging technologies in the age of AI.

02

How to apply the concept of ethical design into robot system development.

03

Trend trends and cases of the IEEE 7000's AI ethics standardizations.

Venue

Inamori Hall, Ito Campus, Kyushu University

744, Motooka, Nishi-ku, Fukuoka, 819-0395

+81-092-802-5432

Inamori Hall, Kyushu University

weng.yueh.hsuan.647[at]m.kyushu-u.ac.jp

Sponsorship

Kyushu University
IAS, Kyushu University
FRIS, Tohoku University
Tohoku University

Co-Sponsorship

IEEE RAS
University of St. Andrews
Shibaura Institute of Technology
TUM IEAI
University of Oslo
University of North Florida

JST FOREST Official Recognized Event

Acknowledgements:

This symposium is supported by Kyushu University Inamori Frontier Program, mainly funded by JST FOREST Grant Number JPMJFR222C, and partially funded by JST MOONSHOT Grant Number JPMJMS2034.

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