TY - GEN
T1 - A New Challenge for Machine Ethics Regarding Decision-Making in Manufacturing Systems
AU - Kondori, Esmaeil
AU - Neves-Silva, Rui
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021
Y1 - 2021
N2 - In order to deal with increasingly complex manufacturing systems, we need to make sophisticated decisions. A new challenge emerges when dealing with presenting a new decision – making model merged by an off-line (production data including; staffs, machinery, materials) and on-line (sensors, actuators) data to render a shared responsibility of decision´s consequences between machine and human through giving weight to the taken decisions. Undoubtedly, to make an accurate fair prediction, this presented model should follow the ethical rules. However, the mostly past research works about relationship between machine and ethics mainly have focused on human and his responsibility in applying of technology and only humans have engaged in ethical issues. In light of the digital era especially applying AI and Machine learning, necessarily a new approach should be applied to the interplay between the machine, ethics, and human by adding an ethical dimension to those machines which involve with decision making.
AB - In order to deal with increasingly complex manufacturing systems, we need to make sophisticated decisions. A new challenge emerges when dealing with presenting a new decision – making model merged by an off-line (production data including; staffs, machinery, materials) and on-line (sensors, actuators) data to render a shared responsibility of decision´s consequences between machine and human through giving weight to the taken decisions. Undoubtedly, to make an accurate fair prediction, this presented model should follow the ethical rules. However, the mostly past research works about relationship between machine and ethics mainly have focused on human and his responsibility in applying of technology and only humans have engaged in ethical issues. In light of the digital era especially applying AI and Machine learning, necessarily a new approach should be applied to the interplay between the machine, ethics, and human by adding an ethical dimension to those machines which involve with decision making.
KW - Artificial intelligence
KW - Machine ethics
KW - Sliding decision - making
KW - Smart manufacturing systems
UR - http://www.scopus.com/inward/record.url?scp=85112005854&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78288-7_16
DO - 10.1007/978-3-030-78288-7_16
M3 - Conference contribution
AN - SCOPUS:85112005854
SN - 978-3-030-78287-0
T3 - IFIP Advances in Information and Communication Technology
SP - 161
EP - 172
BT - Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Ferreira, Pedro
A2 - Brito, Guilherme
PB - Springer
CY - Cham
T2 - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Y2 - 7 July 2021 through 9 July 2021
ER -