The HUMAINT Winter School was conceived as an interdisciplinary course about the impact of Artificial Intelligence (AI) systems on human behaviour.
This event had two editions (2019 and 2020) and allowed participants to enjoy lectures and practical session from specialist from all around the world, present their ongoing research, and get individual tutoring and advice.
HUMAINT Winter School on AI: ethical, social, legal and economic impact (2019)
This first HUMAINT winter school was structured in two main parts:
- An introductory course to AI and its impact, targeting non-specialist technical audiences (policy-makers, middle and top-level management of enterprises and social organisations, and media makers)
- Research-oriented lectures and project-based team work on a set of ethical, legal and societal issues related to recent advancement in AI, for early stage researchers (PhD students and postdocs) working in academic institutions and industry
Local committee: Dr. Songül Tolan, Dr. Marius Miron, Dr. Vicky Charisi, Ms. Paula Galnares.
HUMAINT Winter School on Fairness, Accountability and Transparency in Artificial Intelligence (2020)
After a successful first event, 2020 HUMAINT Winter School focused on the topic of fairness and accountability in AI. This event was part of the ACM Conference on Fairness, Accountability and Transparency (ACM FAT*) network.
Academic coordination: Prof. Virginia Dignum (Umea University) and Dr. Emilia Gómez (JRC and Universitat Pompeu Fabra).
- Introduction - Emilia Gómez
- How should AI be regulated - Virginia Dignum
- Responsible AI frameworks - Andreas Theodorou
- Towards AI governance - Andreas Theodorou
- Flash presentations
- AI watch and intro - Paul Desruelle
- Human centric Machine Learning - Manuel Gómez
- Rethink government with AI - Cosmina Dorobantu
- Child Welfare - Cosmina Dorobantu
- Studying AI in social context - Gina Neff
- Considering the FAT implications - Marion Oswald
- Assesing the impact of AI in human behaviour - Emilia Gómez