Ricardo Chavarriaga
Research Associate - Head of the CLAIRE Office Zurich, ZHAW School of Engineering - CLAIRE Office Zurich
Ricardo Chavarriaga has more than 12 years of experience in research on human-machine interaction, brain-machine interfaces, and artificial intelligence. His work is focused on responsible development of technologies that promote beneficial, humane interaction between human and intelligent machines. Ricardo is the head of the Swiss office of the Confederation of Laboratories for AI Research in Europe (CLAIRE); Senior researcher at Zürich University of Applied Sciences (ZHAW) and associate fellow at the Geneva Center for Security Policy (GCSP). Dr. Chavarriaga is also chair of the IEEE Standards Association industry connection group on Neurotechnologies for Brain-Machine Interfacing, and Subgroup Chair of the IEEE P2863 Working group on Recommended Practices for Organisational Governance of AI.
Ricardo is speaking at
3:30 pm - 5:00 pm
Speakers
- Philipp Slusallek (Chair) Scientific Director & Professor, DFKI, Saarland University & Plattform Lernende Systeme
- Ray Walshe (Chair) Dublin City University (DCU)
- Freek Bomhof (Chair) senior consultant, TNO
- Katharina Morik (Speaker) Professor, TU Dortmund
- Fredrik Heintz (Speaker) Associate Professor, ICT-48 TAILOR Network
- Wolfgang Wahlster (Speaker) Professor of Artificial Intelligence, Founding director and CEA of DFKI, the German Research Center for AI, DFKI
- Cecile Huet (Speaker) Deputy Head of Unit, Robotics & AI, European Commission , DG CONNECT
- Ricardo Chavarriaga (Moderator) Research Associate - Head of the CLAIRE Office Zurich, ZHAW School of Engineering - CLAIRE Office Zurich
Description
AI technology connects increasing amounts of data and becomes more and more interconnected with other digital systems. To unlock its economic potential and use it to the benefit of our society however, people need to trust AI-based systems and applications. Trust in this context comprises different perspectives, like compliance to data protection rules and policies as well as ethical values and standards, or that an AI system reliably behaves correctly even in highly complex or rare situations. Accordingly, this track will present different activities and projects on the national and European level which deal with this fundamental aspect of trust in AI, and discuss some promising approaches to achieve it, ranging from standardization and certification to research topics like explainability and integrity by design.
Nov 3 - 5, 2020