CFP RE4AI 2024 - Int. Workshop on Requirements Engineering for Artificial Intelligence, Winterthur, Switzerland, 8/4/2024
Renata S. S. Guizzardi
CALL FOR PAPERS – RE4AI 2024
5th International Workshop on Requirements Engineering for Artificial Intelligence (RE4AI)
https://sites.google.com/view/re4ai
Co-located with the 30th International Working Conference on Requirements Engineering (REFSQ 2022), Winterthur, Switzerland, April 8-11, 2024.
Important Dates
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Workshop Paper Submission: February 9, 2024
Workshop Paper Notification: February 23, 2024
Camera-ready version: March 1, 2024
Worskhop : April 8, 2024
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Nowadays AI is embedded in software and hardware systems, from everyday objects, such as cars, household appliances, wearable devices, to unmanned military vehicles and arms. AI techniques are impacting several industries, and the role of humans in performing creative tasks in domains such as film making, journalism, is challenged by Generative AI. This fosters daily discussions about the opportunities and the risks of AI, at social and individual levels, and calls for responsible development of AI. In particular, we have seen in the past few years, a raise in concerns regarding AI systems, including the emergence of manifestos asking for more regulation and even requesting a pause in giant AI experiments.
For several years (e.g., 2015 open letter and a document about research priorities), AI researchers have manifested their worries and recommendations for the responsible use of data, employment of discrimination-free algorithms, alignment of AI-based systems and technologies with human values and transparency. Their main aim with such claims is to create awareness in policy makers. As a response, in 2018, Europe has defined three pillars, which state that regarding AI systems, European countries should: be ahead in public and private technological development; support education to prepare for emerging social-economical changes; and assure an appropriate ethical and legal framework. In 2019, Europe further developed its approach in what is known as Trustworthy AI manifesto, which states that AI systems should be lawful, ethical and robust. These principles are at the basis of the work on a European proposal for a legal framework on AI, defining a legal environment and risk levels to be used in the classification on how critical are AI solutions. In December 2023, the EU Parliament agreed on the AI act, which aims at ensuring AI in Europe is safe.
It is hard to imagine that AI systems will achieve these aforementioned attributes without accounting for a strong emphasis on capturing and maintaining “the right” requirements, and making sure that the system is validated to properly meet such requirements. As the RE community is aware, this entails a myriad of methods and tools covering all RE activities, including requirements analysis, documentation and evolution. Nevertheless, many AI systems are today developed without much focus on the early development stages. In other words, much focus is put on combining different algorithms and heuristics, without however a more abstract view on what the system should deliver. As a result of the lack of RE support, the resulting system may be far from what is intended, leading to failing projects and systems that go rogue, which may ultimately cause harm to human individuals and society.
The main goals of the RE4AI Workshop may be summarized as follows:
- raising awareness in the RE community about the importance of RE in realizing Trustworthy AI systems;
- bringing in the same room people involved in RE4AI research to discuss pressing issues, such as how RE can contribute to prevent AI systems to fail or to go rogue;
- setting up the basis for collaboratively producing a report on the challenges, candidate solution paths, and research priorities regarding RE4AI
To achieve these goals, we plan a workshop which mixes invited talks and
technical paper sessions.
Topics of Interest
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Workshop topics of interest include, but are not restricted to:
- RE addressing Technical Robustness and Safety of AI-based solutions
- RE facilitating Privacy and Data Governance for AI-based solutions
- RE supporting Accountability of AI-based solutions
- RE targeted at providing Transparency for AI-based solutions
- RE supporting Fairness in Decision-Making within AI-based solutions
- Experience with the Engineering of Complex AI Systems
- RE for AI in Industrial and Governmental cases
- RE for Machine Learning-based Systems
- RE for Automated Decision-Making Systems
- RE for Robotics
- RE for Cyber Physical Systems
- The interplay between RE and Ethics for AI
- Quality Requirements for AI-based Systems
Submission Instructions
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We invite three kinds of submissions:
- Research paper (10-15 pages): Long paper, describing a full-fledged research work, including motivation, state of the art discussion, proposal, validation and analysis of related works.
- Research Preview paper (6 pages): Short paper, specifying a problem related to any of the workshop topics, and a roadmap towards addressing it.
-Position paper (6 pages): Short paper, stating the position of the author(s) on any of the workshop topics.
A paper of any kind will be evaluated on its potential for generating discussion, on practical relevance and on the originality of the positions stated. We plan to publish accepted papers in CEUR, in the REFSQ workshop volume, as is the tradition in REFSQ. Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions should be written in English and submitted in PDF format (page sizeA4, single column) formatted according to the CEUR Proceedings Style:
Formatting styles can be found at https://ceur-ws.org/HOWTOSUBMIT.html#CEURART. If you use Overleaf, here is the link to their new CEUR template: https://tinyurl.com/OverleafTemplateforCEUR
Papers should be submitted through EasyChair at: https://easychair.org/conferences/?conf=re4ai
Organizers (in alphabetical order)
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Renata Guizzardi, University of Twente, The Netherlands
Khan Mohammad Habibullah, Chalmers | University of Gothenburg, Sweden
Anna Perini, FBK, Center for Information and Communication Technology - ICT, Italy
Angelo Susi, FBK, Center for Information and Communication Technology - ICT, Italy
Program Committee (tentative)
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Amel Bennaceur, The Open University, United Kingdom
Dan Berry, University of Waterloo, Canada
Tatiana
Chuprina, Fortiss GmbH, Germany
Beatriz Cabrero-Daniel, University of Gothenburg, Sweden
Davide Dell'Anna, Delft
University of Technology, The Netherlands
Alessio Ferrari, ISTI-CNR, Italy
Irit
Hadar, University of Haifa, Israel
Hans-Martin Heyn, University of Gothenburg, Sweden
Jennifer Horkoff, University of Gothenburg, Sweden
Eric Knauss, University of Gothenburg, Sweden
Blagovesta Kostova, Ecole Polytechnique Fédérale de Lausanne, Switzerland
Tsvi Kuflik, University of Haifa, Israel
Zhi Jin, Peking University, China
Nauman A. Qureshi, Munster Technological University, Germany
John Mylopoulos,
University of Ottawa, Canada
Sallam Abualhaija, University of Luxembourg, Luxembourg
Kurt Schneider, Leibniz Universität Hannover, Germany
Andreas Vogelsang, TU-Berlin, Germany
Krzysztof Wnuk, Blekinge Institute of Technology, Sweden
Eric Yu, University of Toronto, Canada
P.O. Box 217
7500 AE Enschede
The Netherlands