EVENTS

EVENTS

Dates:2019.11.07

International Conference: Multidisciplinary Perspectives on Algorithms

Lectures, etc. Ito Campus Applications open

In 2007, the International Programs in Law of the Kyushu University's Faculty of Law started to organize the Kyushu University's Annual Law Symposium. In 2019, we will organize the 12th edition. The theme chosen for this edition is "Multidisciplinary Perspectives on Algorithms: Regulation, Governance, Markets."

Algorithms are increasingly controlling, shaping, governing or regulating products, decisions, and judgments. Yet, these algorithms are often ‘black boxes’, identifying that there is still lots of obscurity surrounding their operation. To prevent that this leads to either under- or over-regulation, a better understanding of the debates on algorithms across disciplines is necessary.

To achieve such an understanding, our aim is to bring together experts with a background in technology, economics, sociology, and ethics to address the many uncertainties — both practical and normative — surround the scope, direction and effects of algorithms and related technologies. This international and multi-disciplinary event aims to contribute to a better understanding of the diverse and complex issues surrounding the emergence of algorithms.

Target General、Current students and Staffs
Dates 2019.11.21 [Thu] 09:00 ~ 2019.11.23 [Thu] 18:00
Venue Ito Campus
Venue name Inamori Center
Venue address

MAP

744 Motooka Nishi-ku Fukuoka, Japan
Seating capacity No
Participation fee Free of charge
Event details https://www.kyushu-university-law.com/
Application method Advanced registration required
[Online]
https://www.kyushu-university-law.com/registration
Application period 2019.11.07[Thu] - 2019.11.20[Wed]
Inquiries

Name: Steven VAN UYTSEL
Mail: info-conference★kyushu-law-conference.com
Please replace ★ with @

Website https://www.kyushu-university-law.com/
Publishing period 2019.11.07[Thu] - 2019.11.24[Sun]
Related data

International Conference - Multidisciplinary Perspectives on Algorithms.pdf (866KB)

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