Amsterdam University of Applied Sciences

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dr. ir. P. Wiggers (Pascal)

Professor of Responsible IT
Telephone:
0628488189
Email:
p.wiggers@hva.nl
Work address:
Wibauthuis, Wibautstraat 3b, 1091 GH Amsterdam
Postal address:
Postbus 2728,1000 CS Amsterdam
Room number:
06A29
Expertise:
Artificial Intelligence
Social media:
Personal website:
Responsible IT
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Pascal Wiggers has been appointed Professor for the Responsible IT research group at the Faculty of Digital Media & Creative Industry (FDMCI) as of April 1st, 2024.. The Responsible IT research group researches how digital technology, particularly AI, can be shaped and utilized according to societal values such as autonomy, inclusivity, diversity, and human dignity. Additionally, the research group designs and develops algorithms, prototypes, and development methodologies to comprehend the individual, ethical, and social impact of technology. This is accomplished through addressing concrete practical issues in close collaboration with citizens, programmers, designers, activists, professionals, civil servants, students, and teachers.

Wiggers previously held a position as Associate Lecturer Responsible Artificial Intelligence (AI) at the Faculty of Digital Media & Creative Industry (FDMCI) in which he focused on developing AI from public values, with an eye for the individual, social and ethical consequences of AI. This position was part of the Responsible IT research group and the first time the Amsterdam University of Applied Sciences had appointed an Associate Lecturer.

Wiggers received his PhD from TU Delft in 2008 with the thesis "Modeling Context in Automatic Speech Recognition" and worked at the same university as an associate professor, where, together with his PhD students, he researched machine learning, automatic recognition of speech, language and emotion and methods to reflect on values during the design and development process of digital technology.

Wiggers was quartermaster of the HvA-wide Centre of Expertise Applied Artificial Intelligence and co-initiator of the Master Applied Artificial Intelligence. He is one of the initiators of the AI, Media & Democracy ELSA Lab, a member of the strategy team of Amsterdam AI, and a member of the Graduate Committee of the Professional Doctorate in Engineering & Digitalization.

  • Improving Book Search with AI
    Bašić, S., Fuckner, M., & Wiggers, P. (2024). Improving Book Search with AI. Poster session presented at ICT Open 2024, Utrecht, Netherlands.
  • Uncovering bias in ASR systems
    Fuckner, M., Horsman, S., Janssen, I., & Wiggers, P. (2024). Uncovering bias in ASR systems: Evaluating the performance of Wav2vec2 and Whisper for Dutch speakers. Poster session presented at 2nd Dutch Speech Tech Day , Hilversum, Netherlands.
  • Reducing Bias in the ASR 'Whisper' Model: A Synthetic Speech Data Approach
    Wiggers, P., & Hensen, L. (2023). Reducing Bias in the ASR 'Whisper' Model: A Synthetic Speech Data Approach. Poster session presented at BNAIC 2023, Delft, Netherlands.
  • DRAMA – Op weg naar inclusieve spraakherkenning
    Horsman, S., Fuckner, M., & Wiggers, P. (2023). DRAMA – Op weg naar inclusieve spraakherkenning. Web publication or website, RAAIT. https://raait.nl/kennisbank/inclusieve-spraakherkenning/
  • Exploring Responsible AI Practices in Dutch Media Organizations
    Wiggers, P. (2023). Exploring Responsible AI Practices in Dutch Media Organizations. In J. Abdelnour Nocera, M. Kristín Lárusdóttir, H. Petrie, A. Piccinno, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2023 - 19th IFIP TC13 International Conference, Proceedings: Lecture Notes in Computer Science, vol 14145 (Vol. 14145, pp. 481-485). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14145 LNCS). Springer. https://doi.org/10.1007/978-3-031-42293-5_58
  • Impact van intelligente technologie op onderwijs
    Piersma, N., & Wiggers, P. (2023). Impact van intelligente technologie op onderwijs. Hogeschool van Amsterdam. https://openresearch.amsterdam/nl/page/94273/impact-van-intelligente-technologie-in-het-onderwijs
  • Explainable Misinformation Detection from Text: A Critical Look
    Bašić, S., Fuckner, M., & Wiggers, P. (2023). Explainable Misinformation Detection from Text: A Critical Look. In T. Calders, C. Vens, J. Lijffijt, & B. Goethals (Eds.), Artificial Intelligence and Machine Learning: 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7–9, 2022, Revised Selected Papers (pp. 1-15). (Communications in Computer and Information Science; Vol. 1805). Springer. https://doi.org/10.1007/978-3-031-39144-6_1
  • Uncovering Bias in ASR Systems
    Fuckner, M., Horsman, S., Wiggers, P., & Janssen, I. (2023). Uncovering Bias in ASR Systems: Evaluating Wav2vec2 and Whisper for Dutch speakers. Paper presented at 2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Bucharest, Romania. https://ieeexplore.ieee.org/document/10314895
  • Explainable misinformation detection from text
    Bašić, S., Fuckner, M., & Wiggers, P. (2022). Explainable misinformation detection from text: a critical look. Poster session presented at BNAIC/BeNeLearn 2022, Mechelen, Belgium.
  • The Bubble Machine: An agent-based modelling tool to analyse the interplay between cognitive preferences, social network interactions and algorithmic curation
    Fuckner, M., Bašić, S., Wiggers, P., Westplat, Y., van Kersbergen, R., & Firouzifard, I. (2022). The Bubble Machine: An agent-based modelling tool to analyse the interplay between cognitive preferences, social network interactions and algorithmic curation. 1-3. Abstract from BNAIC/BeNeLearn 2022, Mechelen, Belgium. https://bnaic2022.uantwerpen.be/wp-content/uploads/BNAICBeNeLearn_2022_submission_1650.pdf
  • Algorithm curation and the emergence of filter bubbles
    Fuckner, M., Bašić, S., & Wiggers, P. (2022). Algorithm curation and the emergence of filter bubbles: an agent-based modelling approach. Poster session presented at AI, media & democracy lab, opening event, Amsterdam.
  • Als de machine kiest
    de Zwart, H., & Wiggers, P. (2022). Als de machine kiest: diversiteit en inclusie in kunstmatige intelligentie voor werving en selectie. Hogeschool van Amsterdam.
  • Algorithm curation and the emergence of filter bubbles
    Fuckner, M., Bašić, S., & Wiggers, P. (2022). Algorithm curation and the emergence of filter bubbles: an ABM approach. Abstract from ICT.OPEN 2022, Amsterdam, Netherlands.
  • Exploring Bias in Data and Models for Misinformation Detection from Text
    Bašić, S., Fuckner, M., & Wiggers, P. (2022). Exploring Bias in Data and Models for Misinformation Detection from Text. Abstract from ICT.OPEN 2022, Amsterdam, Netherlands.
  • Large Cone Beam CT SCan Image Quality Improvement Using a Deep Learning U-Net Model
    Ruhe, J., Codreanu, V., & Wiggers, P. (2020). Large Cone Beam CT SCan Image Quality Improvement Using a Deep Learning U-Net Model. Paper presented at BNAIC / BeneLearn 2020, Leiden, Netherlands. https://bnaic.liacs.leidenuniv.nl/wordpress/wp-content/uploads/papers/BNAICBENELEARN_2020_Final_paper_77.pdf
  • Responsible Design of Technical Applications of AI
    Wiggers, P., Pauwels, E., & Piersma, N. (2020). Responsible Design of Technical Applications of AI. 1-4. Paper presented at NordiCHI 2020, Talinn, Estonia.
  • The Hipper Therapeutics Platform
    Oey, M., Bondietti, S., Haitjema, S., Wiggers, P., & Nait Aicha, A. (2018). The Hipper Therapeutics Platform. Software, Hipper Therapeutics. http://www.hipperacademy.nl
  • sensor monitoring system tbv Hipper
    Nait Aicha, A., Haitjema, S., & Wiggers, P. (2016). sensor monitoring system tbv Hipper. Digital or Visual Products https://www.hippertx.nl
  • Managing Flexible Care With a Context Aware System for Ageing-In-Place
    Robben, S., Bosch, L., Wiggers, P., Decancq, J., & Kanis, M. (2015). Managing Flexible Care With a Context Aware System for Ageing-In-Place. EAI Endorsed Transactions on Context-aware Systems and Applications, 15(5), Article e1. https://doi.org/10.4108/icst.pervasivehealth.2015.259229
  • Care4Balance Report on final evaluation Care4Balance prototype
    Jacobs, A., Decancq, J., Coppens, P., Versteeg, L., Wüthrich, M., Andrushevich, A., Wiggers, P., Robben, S., & Nemhe, Z. (2015). Care4Balance Report on final evaluation Care4Balance prototype. iMinds.
  • Integrating meta-Information into recurrent neural network language models
    Shi, Y., Larson, M., Pelemans, J., Jonker, C. M., Wambacq, P., Wiggers, P., & Demuynck, K. (2015). Integrating meta-Information into recurrent neural network language models. Speech Communication, 73(October), 64-80. https://doi.org/10.1016/j.specom.2015.06.006
  • Managing Flexible Care With a Context Aware System for Ageing-In-Place
    Robben, S., Bosch, L., Wiggers, P., Decancq, J., & Kanis, M. (2015). Managing Flexible Care With a Context Aware System for Ageing-In-Place. In B. Arnrich, C. Ersoy, A. Dey, K. Kunze, & N. Berthouze (Eds.), Proceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth): PervasiveHealth 2015 ICST. https://doi.org/10.4108/icst.pervasivehealth.2015.259229
  • Na heupoperatie thuis revalideren
    Wiggers, P. (2015). Na heupoperatie thuis revalideren. Sfeer, 4(3).
Go to Research database
Go to Research database