|
Title:
|
BUSINESS PROCESSES MANAGEMENT
AND RESPONSIBLE USE OF BIG DATA |
|
Author(s):
|
Galena Pisoni and Bálint Molnár |
|
ISBN:
|
978-989-8704-48-1 |
|
Editors:
|
Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
|
Year:
|
2023 |
|
Edition:
|
Single |
|
Keywords:
|
Business Processes, Business Process Management (BPM), Responsible AI, Data Science, AI, Enterprise Architecture |
|
Type:
|
Full Paper |
|
First Page:
|
239 |
|
Last Page:
|
245 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Organizations today seek to improve and adapt their business processes because of the competitive economy. The use and
application of Data Science (DS) and Artificial Intelligence (AI) for different business process aims is often discussed and
put in place, yet it can have a negative impact if DS and AI are implemented in the wrong way. We discuss the use of DS
and AI for the identification, verification, and improvement of business processes, and how to ensure responsible DS and
AI use in enterprises for this aim. We propose an information system design for responsible and trustworthy business
processes, and we envision that businesses will need strong and well-defined control points in their information systems
for managing processes and creating associated audits to enforce their principles. We define questions and challenges
companies need to reflect on and follow for an application of responsible DS and AI in the enterprise context. |
|
|
|
|
|
|
