CALL FOR WORKSHOP PAPER, PRESENTATION & DISCUSSION
on

IEEE BigData 2022 Dec. WORKSHOP (Osaka & Remote)
for


Creating Big Data for morals, ethics, and values
in natural language
in an automatically inferable format


Abstract Submission due: Sep. 30, 2022, 23:59:59 (UPDATED)
Paper submission due: Sep. 30, 2022, 23:59:59 (UPDATED)
Open acceptance Decisions: Oct. 10, 2022, 00:00:00 (UPDATED)
Camera Ready submission due: Nov. 27, 2022, 23:59:59 (UPDATED)

Time zone: USA Eastern Standard Time
15-20 minites presentation on the conference

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.

◆ABSTRACT/PAPER SUBMISSION

ONLINE SUBMISSION HERE

◆PROGRAM COMMITTEE MEMBER

Toshiaki KUROKAWA
Katsuhiko KAKEHI
Koiti HASIDA
Jovan David Rebolledo
Keisuke NAKAMURA

◆QUESTION on the THEME & TOPICS

mailto: keisuke@marusei-sk.com
© 2022