=Paper= {{Paper |id=Vol-3825/prefaceW6 |storemode=property |title=Workshop on Responsible Applied Artificial InTelligence (Preface) |pdfUrl=https://ceur-ws.org/Vol-3825/prefaceW6.pdf |volume=Vol-3825 |authors=Roland van Dierendonck,Marcio Fuckner,Maaike Harbers,Sophie Horsman,Tiwánee van der Horst,Fabian Kok,Stefan Leijnen,Marieke Peeters,Saskia Robben,Pascal Wiggers |dblpUrl=https://dblp.org/rec/conf/hhai/DierendonckFHHH24 }} ==Workshop on Responsible Applied Artificial InTelligence (Preface)== https://ceur-ws.org/Vol-3825/prefaceW6.pdf
                                Preface – Second Workshop on Responsible Applied
                                Artificial InTelligence (RAAIT) ⋆
                                Roland van Dierendonck1,†,*, Marcio Fuckner2,†, Maaike Harbers1, Sophie
                                Horsman2,†, Tiwánee van der Horst1,†, Fabian Kok3,†,*, Stefan Leijnen3, Marieke
                                Peeters3,†, Saskia Robben2,†, Pascal Wiggers2


                                1 Rotterdam University of Applied Sciences, Wijnhaven 107, 3011 WN Rotterdam, The Netherlands

                                2 Amsterdam University of Applied Sciences, Wibautstraat 3b, 1091 GH Amsterdam, The Netherlands

                                3 University of Applied Sciences Utrecht, Heidelberglaan 15, 3584 CS Utrecht, The Netherlands




                                1. Introduction
                                Artificial Intelligence (AI) is increasingly shaping the way we work, live, and interact,
                                leading to significant developments across various sectors of industry, including media,
                                finance, business services, retail and education. In recent years, numerous high-level
                                principles and guidelines for ‘responsible’ or ‘ethical’ AI have been formulated. However,
                                these theoretical efforts often fall short when it comes to addressing the practical challenges
                                of implementing AI in real-world contexts: Responsible Applied AI.
                                    The one-day workshop on Responsible Applied Artificial InTelligence (RAAIT) at HHAI
                                2024: Hybrid Human AI Systems for the Social Good in Malmö, Sweden, brought together
                                researchers studying various dimensions of Responsible AI in practice.
                                    This was the second RAAIT workshop, following the first edition at the 2023 European
                                Conference on Artificial Intelligence (ECAI) in Krakow, Poland [1].

                                2. Keynote speakers

                                The keynote speakers at the workshop were:

                                   •    Giovanni Leoni (Global Head of AI Governance Advisory at Credo AI) - Industry
                                        keynote: “Operationalizing AI Governance – a hands-on approach to Responsible
                                        AI”




                                ⋆ HHAI-WS 2024: Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence
                                (HHAI), June 10—14, 2024, Malmö, Sweden
                                ∗ Corresponding author.
                                † These authors contributed equally.

                                   r.c.h.van.dierendonck@hr.nl (R. van Dierendonck); fabian.kok@hu.nl (F. Kok);
                                            © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).




CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
   •   Olya Kudina (Assistant Professor at Delft University of Technology) - Academic
       keynote: “Ethics in AI: from assessment checklists to proactive practices”



3. Accepted papers
Collectively, the RAAIT workshop received 8 submissions, 6 of which were accepted
through a reviewing process. Contributions address instruments and tools for Responsible
AI in practice, such as gamification and question matrices, technological approaches,
including novel ways to track disinformation spread and training models on multiple labels,
and case studies of Responsible AI in practice, including design workshops for a Public
Service Media recommender system, and interviews around Explainable AI in the financial
sector. Here, we proudly present the papers accepted to the second edition of the annual
workshop on Responsible Applied AI:

       •   Maria Inês Ribeiro (TU Eindhoven), Laura Genga (TU Eindhoven), Monique
           Simons (Wageningen University) and Pieter van Gorp (TU Eindhoven): Promoting
           Responsible and Trustworthy AI in mHealth: a Gamified Approach to Value-Sensitive
           Design
       •   Sietske Tacoma (University of Applied Sciences Utrecht), Jimmy Mulder
           (University of Applied Sciences Utrecht), Matthieu Laneuville (SURF) and Stefan
           Leijnen (University of Applied Sciences Utrecht): A thought-provoking question
           matrix to guide the development of foundation-model-based applications
       •   Jimmy Mulder (University of Applied Sciences Utrecht), Librecht Kuijvenhoven
           (University of Applied Sciences Utrecht), Stan Meyberg (University of Applied
           Sciences Utrecht) and Stefan Leijen (University of Applied Sciences Utrecht):
           Rogue Algorithms: Using AI to track the spread of disinformation
       •   Benedetta Muscato (Scuola Normale Superiore and University of Pisa), Praveen
           Bushipaka (Scuola Superiore Sant’Anna and University of Pisa), Gizem Gezici
           (Scuola Normale Superiore), Lucia Passaro (University of Pisa) and Fosca
           Giannotti (Scuola Normale Superiore): Multi-Perspective Stance Detection
       •   Maaike Harbers (Rotterdam University of Applied Sciences), Oumaima Hajri
           (Autoriteit Persoonsgegevens) and Nathalie Stembert (Rotterdam University of
           Applied Sciences): Responsible AI in Practice: A Case Study on Designing a PSM
           Recommender
       •   Jenia Kim (University of Applied Sciences Utrecht), Henry Maathuis (University of
           Applied Sciences Utrecht), Kees van Montfort (Amsterdam University of Applied
           Sciences) and Danielle Sent (Jheronimus Academy of Data Science): Identifying
           XAI User Needs: Gaps between Literature and Use Cases in the Financial Sector
4. Closing Remarks
Throughout the day, there was room for interactive sessions in which the participants
reflected together how to bring the presented results, insights and methodologies
effectively into practice. The day ended with a discussion on the major challenges for the
field of Responsible Applied AI. To structure this discussion, we used a model that was
created as part of the RAAIT methodology. The vision behind this model is that in order to
put responsible AI in practice, we need to deal with the complex interactions between
Technology, Organization(s) and People.

The organizers would like to express their gratitude to the keynote speakers, all the authors
who submitted and/or presented their work, the RAAIT Program Committee members for
their assistance in reviewing submissions, and the local organizing team and all the chairs
of HHAI 2024.

Acknowledgements
The authors would like to acknowledge the SPRONG RAAIT project funded by SIA (for more
information, please visit https://raait.nl).


References
[1] H. Aldewereld, R. van Dierendonck, M. Harbers, S. Horsman, F. Kok, S. Leijnen, M.
    Peeters, S. Robben, P. Wiggers. Preface – Responsible Applied Artificial InTelligence
    (RAAIT) Workshop, in: Artificial Intelligence. ECAI 2023 International Workshops,
    XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland,
    September 30 – October 4, 2023, Proceedings, Part II, Springer, 2024