First International Workshop on Trustworthy Pervasive and Wearable AI

Workshop held at Percom 2025, March 17-21 Washington DC

In the I-trust-U workshop, we aim for an interdisciplinary and balan- ced group of researchers and thus, encourage submissi-ons in a variety of domains, in-cluding but not limited to edu-cation and didactic, health- and mental care, fit-ness and well-being, economy, sociology, and others. Therefore, we encourage authors to submit their work within, but not limited to the following topics:

  • Strategies for Wearable AI and ML Development with Human-in-the-loop: Here we want to add-ress specific questions regard-ing Human-in-the-loop develop-ments. These are: How can AI be more human-centric? How can we build accountable and transparent AI systems? How can AI help develop sustainable communities?

Workshop Topics.

  • Wearable AI applications in sensitive or critical domains: In this topic, we welcome auth-ors to introduce novel AI appli-cations in sensitive and critical domains such as health and mental care, educationand society, and others

  • Identifying Critical aspects in wearable AI applications: This topic serves to identify critical aspects of existing AI applica-tions. How can we verify them? What can we learn for future developments?

  • Robustness Against Adversarial Attacks in Smart Wearables: Investigate adver-sarial attack generation methods in the context of HAR (human activity recognition) systems. This topic wants to study the vulnerability of activity recog-nition models to adversarial attacks in the feature and signal domain. Furthermore, the topic investigates the effects of ad-versarial attacks during training and inference on smart wearables
  • Fairness and Scalability in the Training Strategy of wearble AI and ML models: This topic explores how to recognize bias-ed sources in data, algorithms, and human deci-sions. Along with new AI paradigms that prio-ritize fairness and ethical consi-derations. And identifying the impact of AI bias and propo- sing mitigation strategies.

  • AI Reasoning Beyond Prediction (Uncertainty Estimation): In this topic, we would like to explore current approa-ches that can be used to teach an AI application to ques-tion itself and add the prediction ”I don’t know” when, for ex-ample, the data input is out-of-distribu-tion (OOD).

  • AI, Ethics and the implications and chances of the EU AI Act for research and verifica-tionof AI applications: We invite discussions about current strategies of politics and resea-rch toregulate AI on an interna-tional level.

Explainable AI Methods for Trustworthy AI Development: This topic covers state-of-the-art techniques for describing and visualizing AI models, forecast-ing expected effects, and iden-tifying potential biases to impro-ve human perception of com-plex AI design and implemen-tation.

Organising and Program Committees

Unser umfassendes Angebot an Fachleuten bietet ein vielfältiges Team, das von erfahrenen Architekten bis zu renommierten Ingenieuren reicht.

Agnes Gruenerbl

Oscar Mayora

Paul Lukowicz

Organising Committee

Hymalai Bello, Daniel Geißler, Vitor Fortes,

Programm Committee

Bo Zhou, Vitor Fortes Rey, Giulia Barbareschi, Passant Elagroudy,