Ethos + Tekhnè: a new generation of AI researchers
Spring school on Ethics and Artificial intelligence
In fulfilment of the EELISA Board Declaration, this school aims to align technical excellence with social impact in the upcoming generation of AI researchers and developers, by combining their tekhnè with ethos.
The school program will unfold over a week of thematic days around key chapters of the Ethics Guidelines for Trustworthy AI. Each day will address a specific question, thanks to lectures in the morning and practical activities in the afternoon. The five topics will be:
1) the socioeconomic impact of AI
2) EU regulations for a fair and private AI
3) explainable AI (XAI)
4) AI decision-making biases identification and AI trustworthiness assessment
5) legal liability in AI
If you applied and are selected to attend the event in person, you can inquire your local EELISA coordinators about possibilities for financial support for travel and accomodation:
|Institution||Contact person(s) and position||Email address|
|BME||Sára Tóvölgyi / |
Kata Kapusy / Sándor Kiss
|ENPC||Marie Christine Bertemail@example.com|
|PSL-Mines||Alma Catala Lunafirstname.lastname@example.org|
|UPM||María Luisa Martínez Munetaemail@example.com|
You can find more details about speakers and the draft programme by downloading the attachment from the "Draft programme" button below.
This Seasonal School has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme. Grant agreement № 835294.
Registration process for physical participation was closed on February 2, 2023.
Registration process for online participation is still open and applications are accepted.
You can attend the school either online or on-site. Online You will be able to watch the school activities through a link that you will receive a few days before the school. Registration is free, with no selection process. During the school, your questions will always be welcomed, but remote attendance cannot guarantee that you will be able to ask them, as on-site questions will be answered first. Active participation on-site Seats are limited to 30 participants in total. The school targets early-career researcher (e.g. research assistants, PhD students, post-docs, exceptional master students) in AI or in computational sciences more broadly. Here is the link for the on-site application process : https://www.santannapisa.it/en/alta-formazione/eelisa-spring-school-ethos-tekhne-new-generation-ai-researchers. If you are not selected, you can always attend the school online. To receive the relevant links, you can express your interest in participating through the participation form (button above).