16. September 2021

Veranstaltungsreihe der CST KI-Forschungsgruppe Veranstaltungsreihe der CST KI-Forschungsgruppe

Sommersemester 2022

CST KI-Forschungsgruppe

Leitendes Ziel der CST AI Research Group ist es, ein Forum zu bieten, in dem Forschende neue Perspektiven auf Ihre eigene Arbeit und regelmässigen Input aus der gesamten Universität zu KI-relevanten Themen gewinnen können.

Wenn Sie ein Paper, eine laufende Arbeit oder eine Frage bezüglich KI vortragen oder diskutieren möchten, können Sie uns kontaktieren: cgauvry@uni-bonn.de.

Wir treffen uns jetzt montags 12:15-13:45 Uhr im IZPH (Poppelsdorfer Allee 28). Alle Veranstaltungen werden jedoch in einem hybriden Format organisiert.

Hier finden Sie das Programm, welches regelmäßig ergänzt und aktualisiert wird. 

    • Nächste Veranstaltung

    July 4 – AI & MENTAL HEALTH: Dr. Theodor Rüber (Epilepsy Department Bonn) “Multi-modal evaluation of epilepsy patients using computational methods”

    Abstract: One-third of all focal epilepsy patients are therapy-refractory (Kwan et al. 2010) and may, thus, qualify for epilepsy surgery (Schulze-Bonhage and Zentner 2014). Presurgical evaluation, however, yields negative results in up to one-half of all cases (Bien et al. 2013). The hope that these patients may still cherish relies on scientific advances in developing anti-epileptic drugs and those in presurgical evaluation. Besides qualitative guidelines (Rosenow et al. 2014), no strict protocol or quantitative metrics exist for deciding whether or not a patient is admissible to surgery. It requires careful evaluation of risk and reward, where the interpretation and weighing of all relevant factors rely on experts' experience and knowledge (Zijlmans, Zweiphenning, and Klink 2019, Jehi, Chagin, et al. 2015). To this day, no clinically established framework exists, which explicitly models the uncertainties of single- and multi-modality diagnoses, integrates them with other relevant clinical factors and derives explicit measures for the presurgical evaluation. With this research project, we aim to formalise the decision-making process into a computational framework. In the first part of the project, we will transform existing data from the past treatment of patients into a dataset suitable for computer-aided analysis. The dataset shall combine patient attributes, multi-modal data and the clinical evaluation resulting from experts. We will use the medical records of all patients diagnosed with epilepsy and admitted to surgery as a foundation to build the dataset. We will also include post-operative examinations to validate derived models. With more than three thousand subjects, this dataset will be the single largest multi-modal dataset about epilepsy. We will develop a data-acquisition tool and distribute it to cooperating institutions to expand the dataset and allow external validation. In the second part of the project, we will model the complex associations in the decision process by utilising modern statistical techniques, especially artificial intelligence (AI) models. A strong focus shall be put on attention-based networks as classifiers since they offer good interpretability and potentially allow the combination of data from imaging and time-dependent domains into one system (Vaswani et al. 2017, Dosovitskiy et al. 2020). Applied methods should generally fall into the category of explainable AI (XAI), which has been argued as essential for the ethical evaluation of such systems and to facilitate clinical consensus (Zhang et al. 2019).

    • Letzte Veranstaltungen

    27. Juni – Dr Julia Mönig & Dr Sergio Genovesi "Certified AI — An ethical analysis of Use Cases"

    20. Juni, 4:15-5:45 pm – AI & MENTAL HEALTH: Dr. Niclas Braun (Clinic for psychiatry and psychotherapy Bonn) "Virtual reality induces symptoms of depersonalization and derealization"

    13. Juni – Dr Apolline Taillandier "Transhumanist visions of world order"

    23. Mai – Dr Johannes Lierfeld "Legal issues of advanced humanoid robotics"

    16. Mai – Dr Oliver Braganza "Proxy divergence: Goodhart’s law as an emergent feature of complex goal-oriented systems"

    2. Mai – Dr Uwe Peters "Linguistic bias: Clarifying the concept and evaluating the evidence (invoked by

    25. April – Dr Charlotte Gauvry "Can we experience the passage of time ?"

    5. April – Dr Uwe Peters "The impact of mindshaping: AI systems and human cognition are not equally opaque”

    Wird geladen