2024 December 16 morning
(Washington DC time)

2nd International WORKSHOP
(IEEE BigData 2024, Remote only )
for

Creating BIG Data for morals, ETHICS, and values in natural language
in an automatically inferable format(BIGETHICS)

ZOOM Join
TIME TABLE of Dec. 16th Morning

2nd International Workshop on Creating Big Data for morals, ethics, and values in natural language in an automatically inferable format WorkshopChairs: Toshiaki Kurokawa
TimeTitlePresenter/Author
9:00
～
9:25		 Exceptions with Priorities by Ethical Values for Logic Programming in Natural Language Keisuke Nakamura/ Keisuke Nakamura
9:25
～
9:50		 The Influence of Societal Values on the Spanish Language and LLMs Jovan Rebolledo Mendez/ Jovan Rebolledo Mendez
9:50
～
10:05		 Coffee Break
10:05
～
10:30		 Comparative analysis among Spanish, English and Japanese for embedded values in LLM Jovan Rebolledo Mendez/ Jovan Rebolledo Mendez
10:30
～
10:55		 When an Old Telecommunication Law Meets Generative AI: the Manifesto to Unbundle AI Aleksandra Pawlicka / Marek Pawlicki , Dagmara Jaroszewska-Choras ́, Damian Puchalski , Rafał Kozik , Michał Choras ́
10:55
～
11:00		 Closing Remarks

Reserch THEME & TOPICS

◆THEME

Morals, ethics, and values became very important, this 21th century.
Humanity/AI should understand/operate these things from many differrent cultures.
On the workshop, we intend to create such Big Data that both humanity and AI easily both understand and operate.

◆TOPICS

 1) How do we represent morals, ethics, facts, and values 
    so that both our humanity and AI easily understand and operate. 

   1-1) Examples of Moral, Ethics or Values difficult to automatically
        understand (interpret) / operate for computers

   1-2) format/notification candidates for the above 1-1) examples.

 2) How can a computer operate and infer from such things 

   2-1) case fitting (concretization, abstraction and solution synthesis)

   2-2) multi-length matching (lazy bound) and breadth-first search

 3) Big Data solution for ontology and notation-fluctuation problems

 4) Moral taboo and Scientific taboo

 5) AND/OR/NOT(unprovable in a closed world such as of PROLOG)

 6) Order of value (differrent by culture/person)

 7) Citation of (the latest) external data from friends

 8) Machine learning of inferrence/reasoning rules from natural language 
    questionnaires

 *note* Abstract & Paper must be related to one of the above topics.

◆PROGRAM COMMITTEE MEMBER

Toshiaki Kurokawa(IEEE Software Advisor)
Katsuhiko Kakehi(Ph.D)
Koichi Hashida(Ph.D)
Jovan David Rebolledo(Ph.D)
Keisuke NAKAMURA

◆QUESTION on the THEME & TOPICS

mailto: keisuke@marusei-sk.com
© 2024