Challenges in AI Projects for Machinery and Plant Engineering (CAIN 2025 - Industry Talks) - CAIN 2025

Sun 27 - Mon 28 April 2025 Ottawa, Ontario, Canada

co-located with ICSE 2025

Who

Richard Nordsiek, Jan-Philipp Steghöfer, Manish Bhandari

Track

CAIN 2025 Industry Talks

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

When

Mon 28 Apr 2025 12:02 - 12:14 at 208 - Trustworthy AI systems Chair(s): Tim Menzies

Abstract

In our AI projects with machinery and plant engineering customers, we encounter recurring challenges beyond data processing, such as data availability, integration, human involvement, operations, and business considerations. Addressing these challenges is crucial for progress in this domain, yet research support is lacking. We present these challenges, discuss our current solutions, and call on researchers at CAIN and beyond to develop better approaches for the future.

Richard Nordsiek

XITASO GmbH IT & Software Solutions

Jan-Philipp Steghöfer

XITASO GmbH IT & Software Solutions

Germany

Manish Bhandari

XITASO GmbH IT and Software Solutions

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Mon 28 Apr
Displayed time zone: Eastern Time (US & Canada) change

	11:00 - 12:30	Trustworthy AI systemsResearch and Experience Papers / Industry Talks at 208 Chair(s): Tim Menzies North Carolina State University

	11:00 15m Talk		ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models Research and Experience Papers Sergio Morales Universitat Oberta de Catalunya, Robert Clarisó Universitat Oberta de Catalunya, Jordi Cabot Luxembourg Institute of Science and Technology
	11:15 10m Talk		Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications Research and Experience Papers Chandrasekar S IIIT Hyderabad, Vyakhya Gupta IIIT Hyderabad, Prakhar Jain IIIT Hyderabad, Karthik Vaidhyanathan IIIT Hyderabad
	11:25 10m Talk		From Hazard Identification to Control Design: Proactive and AI-Supported Safety Engineering for ML-powered Systems Research and Experience Papers Yining Hong Carnegie Mellon University, Christopher Timperley , Christian Kästner Carnegie Mellon University
	11:35 15m Talk		Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI Research and Experience Papers Niels With Mikkelsen Jyske Bank, Lasse Pedersen Jyske Bank, Mansoor Hussain Jyske Bank, Victor Foged Deloitte, Ekkart Kindler Technical University of Denmark
	11:50 12m Talk		Is Generated Images Suitable for Weakness Detection? Industry Talks Haruki Yokoyama Fujitsu Limited, Fuyuki Ishikawa National Institute of Informatics
	12:02 12m Talk		Challenges in AI Projects for Machinery and Plant Engineering Industry Talks Richard Nordsiek XITASO GmbH IT & Software Solutions, Jan-Philipp Steghöfer XITASO GmbH IT & Software Solutions, Manish Bhandari XITASO GmbH IT and Software Solutions
	12:14 16m Other		Discussion Research and Experience Papers