The RE4AI Workshop is part of REFSQ 2022 (The 28th International Working Conference on Requirements Engineering).

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. Moreover, AI techniques such as Machine Learning are used since several years by big tech players, as well as by startups that, for instance, provide business intelligence services to insurance companies.

Since several years ago (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. However, it is hard to imagine that AI systems will achieve these 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, most of the attention 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 from AI and RE industry and academia 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;

motivating cross fertilization between AI and RE works.


To achieve these goals, we plan a workshop which mixes paper presentations and interactive sessions.

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



We invite two 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 either 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 size A4, single column) formatted according to the CEUR Proceedings Style:

Formatting styles can be found here

The LaTeX style file to use is onecolceurws.sty

The template to follow is paper1.tex

Your paper should look like paper1.pdf



If you use Overleaf, here is the link to their new CEUR template, available at: https://tinyurl.com/OverleafTemplateforCEUR



Papers should be submitted through EasyChair at: https://easychair.org/conferences/?conf=re4ai2022