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ICSE 2022
Sun 8 - Fri 27 May 2022

Accepted Papers

Title
Augur: A Step Towards Realistic Drift Detection in Production ML Systems
SE4RAI
Challenges in Machine Learning Application Development: An Industrial Experience Report
SE4RAI
MLOps: A Guide to its Adoption in the Context of Responsible AI
SE4RAI
Non-Functional Requirements for Machine Learning: An Exploration of System Scope and Interest
SE4RAI
Operationalizing Machine Learning Models - A Systematic Literature Review
SE4RAI
Robustness Testing of a Machine Learning-based Road Object Detection System: An Industrial Case
SE4RAI
The Concept of Ethical Digital Identities
SE4RAI
Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems
SE4RAI

1st International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI)

Theme & Goals

Artificial intelligence (AI) continues demonstrating its positive impact on society and successful adoptions in data rich domains. The global AI market was valued at USD 62.35 billion in 2020 and is expected to grow with an annual growth rate of 40.2% from 2021 to 2028. Although AI is solving real-world challenges and transforming industries, there are serious concerns about its ability to behave and make decisions in a responsible way touching on lives and human values. Responsible AI is one of the greatest scientific challenges of our time and societies.

In recent years, many ethical regulations, principles and guidelines for responsible AI have been issued by governments, research organisations, and enterprises. However, these principles are typically very high level and do not provide concrete guidance to technologists on how to implement AI responsibly. For example, one of the principles in the Australian AI Ethics Framework is that AI systems should respect “human-centred values”, but this leaves unanswered many questions such as which values, and how can these values be designed for, implemented and tracked in an AI system. Developing responsible AI systems goes beyond fixing traditional software code “bugs” and providing theoretical guarantees for algorithms. New and improved software engineering approaches are required to ensure that the AI systems developed are trustworthy throughout the entire lifecycle and trusted by those who use and rely on them.

The aim of this workshop is to bring together researchers and practitioners in software engineering and AI to build up a community that will target the software engineering challenges that developers and technologists are facing in developing AI systems responsibly. In this workshop, we are looking for cutting-edge software engineering methods, techniques, tools and real-world case studies that can help operationalise responsible AI.

Topics of Interest

Topics of interests include, but are not limited to:

• Requirement engineering for responsible AI

• Software architecture and design of responsible AI systems

• Verification and validation for responsible AI systems

• DevOps, AIOps, MLOps for responsible AI systems

• Development processes for responsible AI systems

• Governance of responsible AI

• Software engineering for explainable AI

• Reproducibility and traceability of AI

• Trust and trustworthiness of AI systems

• Human-centric AI systems and human values in AI systems

Two types of contributions will be considered:

• A research or experience full paper with 8 pages max.

• A short research or experience paper with 4 pages max.

Selected papers presented at the workshop will be invited to consider submission (after significant extension) for the IEEE flagship magazine - IEEE Computer special issue on software engineering for responsible AI

Submission Guidelines

• Submissions must conform to the ACM conference paper formatting instructions. The official publication date of the workshop proceedings is the date the proceedings are made available in the ACM Library. This date may be up to two weeks prior to the first day of ICSE 2022. The official publication date affects the deadline for any patent filings related to published work.

• LaTeX users must use the provided acmart.cls and ACM-Reference-Format.bst without modification, enable the conference format in the preamble of the document (i.e., {\documentclass[sigconf,review]{acmart}), and use the ACM reference format for the bibliography (i.e., \bibliographystyle{ACM-Reference-Format}). The review option adds line numbers, thereby allowing referees to refer to specific lines in their comments.

• All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity by the program committee. Please note, the submissions should NOT be double blind, i.e. in the submission the authors should be specified. All workshop papers should be submitted electronically in PDF format through the EasyChair workshop website.

• All submissions must be in PDF.

Registration

All registrations for the workshop must be done through ICSE registration system, for both participants and authors to have access granted to the Workshop.

Please visit ICSE conference webpage: https://conf.researchr.org/home/icse-2022

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Tue 17 May

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07:00 - 08:25
SE4RAI 2022 Session 1SE4RAI at SE4RAI room
Chair(s): Qinghua Lu CSIRO’s Data61, Xiwei (Sherry) Xu CSIRO Data61
07:00
10m
Day opening
Opening
SE4RAI

07:10
30m
Keynote
Why Software Engineers are the Key to Building AI Systems Responsibly
SE4RAI
Jon Whittle CSIRO's Data61 and Monash University
07:40
15m
Talk
Augur: A Step Towards Realistic Drift Detection in Production ML Systems
SE4RAI
Grace Lewis Carnegie Mellon Software Engineering Institute, Sebastian Echeverria Carnegie Mellon Software Engineering Institute, Lena Pons Carnegie Mellon Software Engineering Institute, Jeffrey Chrabaszcz Carnegie Mellon Software Engineering Institute
07:55
15m
Talk
Challenges in Machine Learning Application Development: An Industrial Experience Report
SE4RAI
Md Saidur Rahman SWAT Lab, Polytechnique Montreal, Foutse Khomh Polytechnique Montréal, Emilio Rivera École Polytechnique de Montréal, Yann-Gaël Guéhéneuc Concordia University and Polytechnique Montréal, Bernd Lehnert SAP Canada
08:10
15m
Talk
MLOps: A Guide to its Adoption in the Context of Responsible AI
SE4RAI
08:40 - 10:10
SE4RAI 2022 Session 2SE4RAI at SE4RAI room
Chair(s): Qinghua Lu CSIRO’s Data61, Xiwei (Sherry) Xu CSIRO Data61
08:40
15m
Talk
Operationalizing Machine Learning Models - A Systematic Literature Review
SE4RAI
Ask Berstad Kolltveit Norwegian University of Science and Technology, Jingyue Li Norwegian University of Science and Technology
08:55
15m
Talk
Non-Functional Requirements for Machine Learning: An Exploration of System Scope and Interest
SE4RAI
Khan Mohammad Habibullah University of Gothenburg, Gregory Gay Chalmers and the University of Gothenburg, Jennifer Horkoff Chalmers and the University of Gothenburg
09:10
15m
Talk
Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems
SE4RAI
Emilia Cioroaica Fraunhofer IESE, Barbora Buhnova Masaryk University, Emrah Tomur Ericsson
09:25
15m
Talk
The Concept of Ethical Digital Identities
SE4RAI
Emilia Cioroaica Fraunhofer IESE, Barbora Buhnova Masaryk University, Frank Jacobi formitas AG, Daniel Schneider Fraunhofer IESE
09:40
15m
Talk
Robustness Testing of a Machine Learning-based Road Object Detection System: An Industrial Case
SE4RAI
Anne-Laure Wozniak Kereval, Sergio Segura Universidad de Sevilla, Raúl Mazo ENSTA Bretagne, Sarah Leroy Kereval
09:55
15m
Social Event
Open discussion
SE4RAI

Congratulations on the acceptance of your paper to SE4RAI 2022.

SE4RAI workshop will run from 7:00 AM to approximately 10:10 AM (UTC-4).

This time window was chosen based on the geographic distribution of the authors.

The presentation time slot will be 15 minutes (including questions) for accepted papers.

Midspace conferencing system

We will use live presentations in Midspace conferencing system.

At least one author needs to register to have access to the SE4RAI workshop in Midspace and be able to present.

Please make sure you can access Midspace some days before the workshop, so you become familiar with the environment and test your camera, audio, and presentation details. You can create a private room and experiment with the environment by yourself.

SE4RAI Worksop will use video chat, which works similar to the Zoom Meeting video chat feature. Midspace’s video chat is in-browser and does not require a separate application. Chairs & presenters can unmute, turn on camera, screenshare (with or without system audio) and can control who is visible/audible in the meetings.