| Issue Date | Title | Involved Person(s) |
| 31-May-2024 | Towards the certification of AI-based systems | Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen, et al |
| 31-May-2024 | MLOps as enabler of trustworthy AI | Billeter, Yann; Denzel, Philipp; Chavarriaga, Ricardo; Forster, Oliver; Schilling, Frank-Peter, et al |
| 22-Feb-2024 | Customizing the human-avatar mapping based on EEG error related potentials during avatar-based interaction | Iwane, Fumiaki; Porssut, Thibault; Blanke, Olaf; Chavarriaga, Ricardo; Millan, Jose Del R., et al |
| 2-Nov-2023 | A framework for assessing and certifying explainability of health-oriented AI systems | Denzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike, et al |
| Jul-2023 | Integrating innovation : the role of standards in promoting responsible development of human–machine systems | McKinney, Zach; de Neeling, Martijn; Bianchi, Luigi; Chavarriaga, Ricardo |
| 11-Jan-2023 | certAInty : a certification scheme for AI systems (Innosuisse project) | Weng, Joanna; Reif, Monika; Chavarriaga, Ricardo; Schilling, Frank-Peter |
| 2023 | Neurotechnologies : the new frontier for international governance | Chavarriaga, Ricardo; Rickli, Jean-Marc; Mantellassi, Federico |
| 2023 | EEG error-related potentials encode magnitude of errors and individual perceptual thresholds | Iwane, Fumiaki; Sobolewski, Aleksander; Chavarriaga, Ricardo; Millán, José del R. |
| 2023 | EEG-based brain-computer interfaces are vulnerable to backdoor attacks | Meng, Lubin; Jiang, Xue; Huang, Jian; Zeng, Zhigang; Yu, Shan, et al |
| 2023 | EEG signature of breaks in embodiment in VR | Porssut, Thibault; Iwane, Fumiaki; Chavarriaga, Ricardo; Blanke, Olaf; Millán, José Del R., et al |
| 3-Jun-2022 | Towards a governance framework for brain data | Ienca, Marcello; Fins, Joseph J.; Jox, Ralf J.; Jotterand, Fabrice; Voeneky, Silja, et al |
| 8-Feb-2022 | Workshops of the eighth international brain-computer interface meeting : BCIs: the next frontier | Huggins, Jane E.; Krusienski, Dean; Vansteensel, Mariska J.; Valeriani, Davide; Thelen, Antonia, et al |
| 2022 | Machine-learning based monitoring of cognitive workload in rescue missions with drones | Dell'Agnola, Fabio; Jao, Ping-Keng; Arza, Adriana; Chavarriaga, Ricardo; Millan, Jose Del R., et al |
| 16-Dec-2021 | Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials | Batzianoulis, Iason; Iwane, Fumiaki; Wei, Shupeng; Correia, Carolina Gaspar Pinto Ramos; Chavarriaga, Ricardo, et al |
| 9-Jun-2021 | A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications | Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter, et al |
