Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report

Travis D Breaux; Giancarlo Guizzardi; Eric Yu; Amal Ahmed Anda; Sotirios Liaskos; Elda Paja

Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report

Travis D Breaux
, Giancarlo Guizzardi
, Eric Yu
, Amal Ahmed Anda
, Sotirios Liaskos
, Elda Paja

Center for Information Security and Trust

Carnegie Mellon University
University of Twente
University of Toronto
University of Ottawa
York University

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research

Abstract

The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.

Original language	English
Title of host publication	CEUR workshop proceedings : Proceedings of the 17th International iStar Workshop (iStar 2024) co-located with the 43rd International Conference on Conceptual Modeling {(ER} 2024), Pittsburgh, Pennsylvania, October 28, 2024
Number of pages	6
Volume	3936
Publisher	CEUR Workshop Proceedings
Publication date	2024
Pages	37-42
Publication status	Published - 2024
Event	International Conference on Conceptual Modeling - Pittsburgh, United States Duration: 28 Oct 2024 → 31 Oct 2024 Conference number: 43

Conference

Conference	International Conference on Conceptual Modeling
Number	43
Country/Territory	United States
City	Pittsburgh
Period	28/10/2024 → 31/10/2024

Keywords

iStar
Goal-oriented modelling
Learning-based AI
ML-based applications

Access to Document

https://ceur-ws.org/Vol-3936/iStar24_panel_report.pdfLicence: CC BY

Cite this

Breaux, T. D., Guizzardi, G., Yu, E., Anda, A. A., Liaskos, S., & Paja, E. (2024). Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report. In CEUR workshop proceedings: Proceedings of the 17th International iStar Workshop (iStar 2024) co-located with the 43rd International Conference on Conceptual Modeling {(ER} 2024), Pittsburgh, Pennsylvania, October 28, 2024 (Vol. 3936, pp. 37-42). CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3936/iStar24_panel_report.pdf

Breaux, Travis D ; Guizzardi, Giancarlo ; Yu, Eric et al. / Opportunities and Challenges for GORE in the era of Learning-based AI : iStar 2024 Panel Report. CEUR workshop proceedings: Proceedings of the 17th International iStar Workshop (iStar 2024) co-located with the 43rd International Conference on Conceptual Modeling {(ER} 2024), Pittsburgh, Pennsylvania, October 28, 2024. Vol. 3936 CEUR Workshop Proceedings, 2024. pp. 37-42

@inproceedings{8f308cd9f13d4b7c92400d3c5bfdf52b,

title = "Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report",

abstract = "The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.",

keywords = "iStar, Goal-oriented modelling, Learning-based AI, ML-based applications",

author = "Breaux, \{Travis D\} and Giancarlo Guizzardi and Eric Yu and Anda, \{Amal Ahmed\} and Sotirios Liaskos and Elda Paja",

year = "2024",

language = "English",

volume = "3936",

pages = "37--42",

booktitle = "CEUR workshop proceedings",

publisher = "CEUR Workshop Proceedings",

note = "International Conference on Conceptual Modeling, ER ; Conference date: 28-10-2024 Through 31-10-2024",

}

Breaux, TD, Guizzardi, G, Yu, E, Anda, AA, Liaskos, S & Paja, E 2024, Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report. in CEUR workshop proceedings: Proceedings of the 17th International iStar Workshop (iStar 2024) co-located with the 43rd International Conference on Conceptual Modeling {(ER} 2024), Pittsburgh, Pennsylvania, October 28, 2024. vol. 3936, CEUR Workshop Proceedings, pp. 37-42, International Conference on Conceptual Modeling, Pittsburgh, Pennsylvania, United States, 28/10/2024. <https://ceur-ws.org/Vol-3936/iStar24_panel_report.pdf>

Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report. / Breaux, Travis D; Guizzardi, Giancarlo; Yu, Eric et al.
CEUR workshop proceedings: Proceedings of the 17th International iStar Workshop (iStar 2024) co-located with the 43rd International Conference on Conceptual Modeling {(ER} 2024), Pittsburgh, Pennsylvania, October 28, 2024. Vol. 3936 CEUR Workshop Proceedings, 2024. p. 37-42.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research

TY - GEN

T1 - Opportunities and Challenges for GORE in the era of Learning-based AI

T2 - International Conference on Conceptual Modeling

AU - Breaux, Travis D

AU - Guizzardi, Giancarlo

AU - Yu, Eric

AU - Anda, Amal Ahmed

AU - Liaskos, Sotirios

AU - Paja, Elda

N1 - Conference code: 43

PY - 2024

Y1 - 2024

N2 - The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.

AB - The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.

KW - iStar

KW - Goal-oriented modelling

KW - Learning-based AI

KW - ML-based applications

M3 - Article in proceedings

VL - 3936

SP - 37

EP - 42

BT - CEUR workshop proceedings

PB - CEUR Workshop Proceedings

Y2 - 28 October 2024 through 31 October 2024

ER -

Breaux TD, Guizzardi G, Yu E, Anda AA, Liaskos S, Paja E. Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report. In CEUR workshop proceedings: Proceedings of the 17th International iStar Workshop (iStar 2024) co-located with the 43rd International Conference on Conceptual Modeling {(ER} 2024), Pittsburgh, Pennsylvania, October 28, 2024. Vol. 3936. CEUR Workshop Proceedings. 2024. p. 37-42

Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report

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Keywords

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