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First Inria-DFKI European Summer School on AI (IDAI 2021)
                Trustworthy AI and AI for Medicine

                              Saclay, France
                               July 20-23, 2021
                         https://idessai.inria.fr/
               Registration deadline: April 19, 2021

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IDAI 2021 inaugurates a series of yearly Summer Schools organized by the two
renowned German and French AI institutes, DFKI and Inria. It stands out from
the crowd of offerings for AI students in several respects:

We ensure a good balance in the number of participants and instructors:
participants will have the opportunity to join a community of like-minded
people and, at the same time, they will be in close contact with the experts.
Our program features a line-up of courses focused on two themes, Trustworthy
AI and AI for Medicine, which are at the forefront of socio-economic issues
related to AI.
On top of the latest methodological advances and the shared vision of the
future that both organizing institutes have to offer, IDAI 2021 will be
practically oriented. We will achieve this through hands-on courses and the
involvement of industry practitioners and innovators.
Participants will be offered to the opportunity to present their work to each
other in dedicated poster/demo sessions.
Trustworthy AI and AI for Medicine will take place in two parallel tracks.
There will be plenty of opportunities to exchange between these two tracks at
coffee breaks, meals and social events, as well as through joint cross-track
sessions.

TARGETED AUDIENCE
IDAI 2021 was designed for PhD students in all areas of AI, including machine
learning, knowledge representation and reasoning, search and optimisation,
planning and scheduling, multi-agent systems, natural language processing,
robotics, computer vision, and other areas. PhD students in other fields, MSc
students, postdocs, and researchers in industry are also welcome.

VENUE
IDAI 2021 is currently planned as a fully in-person event, which will take
place at the Inria Saclay Île-de-France research center, close to Paris.
Remote attendance will not be possible.

In case the sanitary conditions do not allow an in-person event, IDAI 2021
will take place as a fully virtual event at the same dates instead. We are
closely monitoring the situation and will strive to make this decision as
early as possible.

CONFIRMED KEYNOTES AND SPEAKERS
Cross-track keynotes:

Mihaela van der Schaar (University of Cambridge) – Why medicine is creating
exciting new frontiers for machine learning and AI
Joanna Bryson (Hertie School) – AI ethics
Trustworthy AI track (to be completed):

Serge Abiteboul (Inria) – Responsible data analysis algorithms: a realistic
goal?
Simon Burton (Fraunhofer IKS) – Safety, complexity, AI and automated driving –
holistic perspectives on safety assurance
Michèle Sebag (CNRS – LISN) – Why and how learning causal models
Patrick Gallinari (Sorbonne University and Criteo AI Lab) – Deep learning
meets numerical modeling
Christian Müller (DFKI) – Explaining AI with narratives
Catuscia Palamidessi (Inria) and Miguel Couceiro (University of Lorraine) –
Addressing algorithmic fairness through metrics and explanations
Guillaume Charpiat (Inria), Zakaria Chihani (CEA), and Julien Girard-Satabin
(CEA) – Formal verification of deep neural networks: theory and practice
Hatem Hajri (IRT SystemX) – Adversarial examples and robustness of neural
networks
AI for Medicine track (to be completed):

Gerd Reis (DFKI) – AI in Medicine – An engineering perspective
Marco Lorenzi (Inria) – Federated learning methods and frameworks for
collaborative data analysis
Gaël Varoquaux (Inria) – Dirty data science: machine learning on non-curated
data
Thomas Moreau and Demian Wassermann (Inria) – Introduction to neuroimaging
with Python
Francesca Galassi (Inria) and Rutger Fick (TRIBVN Healthcare) – Domain
adaptation for the segmentation of multiple sclerosis lesions in brain MRI.
Tim Dahmen (DFKI) – Bio-mechanical simulation for individualized implants and
prosthetics
Elmar Nöth (Friedrich-Alexander-University Erlangen-Nuremberg) – Automatic
analysis of pathologic speech – from diagnosis to therapy
Pierre Zweigenbaum (CNRS – LIMSI) – NLP for medical applications
Open discussion with industry (to be completed):
Juliette Mattioli (Thales) and Frédéric Jurie (Safran) – Industry use cases
involving trusted AI
Boris Dimitrov (Check Point Cardio) – Real-time online patient tele-monitoring

FEES AND REGISTRATION
Our fees are all-inclusive and may optionally include accomodation.

For more details and to register, see https://idessai.inria.fr/registration/
(deadline: April 19).

To ensure a good balance in the number of participants and instructors and
maximize the chances of interaction, the number of attendees is limited to 50
per track. Applicants will be selected on the grounds of diversity and benefit
gained from attending the selected track.

ORGANIZERS
Co-organized by: Inria, DFKI, Dataia, IRT SystemX

Contact us: idessai-contact@inria.fr.