TY - GEN
T1 - A Maturity Model for Industries and Organizations of All Types to Adopt Responsible AI—Preliminary Results
AU - Ferreira, Rui Miguel Frazão Dias
AU - Grilo, António
AU - Maia, Maria João
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Competition in Artificial Intelligence (AI) technologies is at its fiercest, pushing companies to move fast and sometimes cut corners regarding the risks to human rights and other societal impacts. Without simple methodologies and widely accepted instruments is hard for an organization to adopt a safe pace on how to develop and deploy AI in a trustworthy way. This paper presents a Maturity Model for Responsible AI, inspired in the EU Ethics Guidelines for Trustworthy AI and other principles and codes of conduct. The core component is a self-assessment tool that generates a roadmap for organizations to improve their approach to AI related development, enabling a positive effect in their business value. It includes requirements to achieve Trustworthy AI, and the methods and key practices that will enable the principles outlined. The result is a consistent and horizontal approach to all industries and functions, taking into consideration that a simple and generic Maturity Model, specific for Responsible AI, is still not available. The model presented in this paper is purposed to fill that gap. The model was pre-tested in two organizations, improved and pre-tested again. Results are presented in this paper. The next phase is to apply the model in several other organizations, and conduct interviews at different hierarchical levels and promote case study discussions. Its final version is planned to be published at the end of 2023.
AB - Competition in Artificial Intelligence (AI) technologies is at its fiercest, pushing companies to move fast and sometimes cut corners regarding the risks to human rights and other societal impacts. Without simple methodologies and widely accepted instruments is hard for an organization to adopt a safe pace on how to develop and deploy AI in a trustworthy way. This paper presents a Maturity Model for Responsible AI, inspired in the EU Ethics Guidelines for Trustworthy AI and other principles and codes of conduct. The core component is a self-assessment tool that generates a roadmap for organizations to improve their approach to AI related development, enabling a positive effect in their business value. It includes requirements to achieve Trustworthy AI, and the methods and key practices that will enable the principles outlined. The result is a consistent and horizontal approach to all industries and functions, taking into consideration that a simple and generic Maturity Model, specific for Responsible AI, is still not available. The model presented in this paper is purposed to fill that gap. The model was pre-tested in two organizations, improved and pre-tested again. Results are presented in this paper. The next phase is to apply the model in several other organizations, and conduct interviews at different hierarchical levels and promote case study discussions. Its final version is planned to be published at the end of 2023.
KW - Artificial intelligence regulation
KW - Ethical
KW - Legal and social issues
KW - Maturity model
KW - Responsible artificial intelligence
KW - Responsible research and innovation
UR - http://www.scopus.com/inward/record.url?scp=85180628539&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-49008-8_6
DO - 10.1007/978-3-031-49008-8_6
M3 - Conference contribution
AN - SCOPUS:85180628539
SN - 978-3-031-49007-1
T3 - Lecture Notes in Computer Science
SP - 67
EP - 78
BT - Progress in Artificial Intelligence
A2 - Moniz, Nuno
A2 - Vale, Zita
A2 - Cascalho, José
A2 - Silva, Catarina
A2 - Sebastião, Raquel
PB - Springer
CY - Cham
T2 - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023
Y2 - 5 September 2023 through 8 September 2023
ER -