Data Science Seminar "Trustworthy and Responsible AI"

We were pleased to have hosted the Data Science Seminar on "Trustworthy and Responsible AI," which took place on 11 March at the Delta Study Building. This seminar highlighted artificial intelligence as a critical focus for developing trustworthy and responsible technology. Emphasized by economic and regulatory frameworks, with a notable emphasis on the EU but also covering the US and China, the event underscored the necessity of new regulatory requirements. These are instrumental in transforming how humans interact with AI, ensuring that AI not only fosters new opportunities and markets but also upholds individuals' fundamental rights and liberties.
Assoc. Prof. Huber Flores organised the event. Abdul-Rasheed Ottun and M.M. Rasinthe Marasinghe moderated the Data Science Seminar.
Programme
📍00:00: Introductions
📍04:12 Huber Flores, UT, “AI Sensors and Dashboards: Gauging and Monitoring the Inference Capabilities of AI”
📍29:20 Michell Boerger, Fraunhofer, “Exploring the Robustness and Accountability of ML Models operating on Multivariate Time Series Data”
📍54:40 Sonia Sousa, TU/TalTech, “An Human-Computer Interaction (HCI) Perspective on Users' Trust in AI”
📍01:20:25 Manh Nguyen, Montimage, “Towards Improving Explainability, Resilience, and Performance of Cybersecurity Analysis of 5G/IoT Networks”
📍01:43:00 David Solans, Telefonica, Fairness and Diversity in Federated Learning”
📍02:04:28 Bart Siniarski, UCD, “AI Under Attack: Protecting 6G Networks Through Resilience and Innovation”
Read more about our Data Science Seminars at cs.ut.ee/en/co...
The seminar was partly supported by the European Union Horizon 2020 research and innovation programme under grant agreement No 101021808.