Human-Machine Peer Learning (HMPL): What and Why?
Date Friday, Nov 24 Time – Room Queen
In this Boardroom Dialogue we will discuss the possibility of humans and AIs becoming "peers" in helping each other to acquire skills and competences.
The dialogue will start with introducing the concept of Human-Machine Peer Learning (HMPL) and exploring its potential to provide a paradigm for constructing human-machine learning curricula from which both humans as well as machines benefit.
Participants will acquire both the theoretical concept of human-machine peer learning and concrete insights into how HMPL is implemented throught the illustration of two prototypical learning scenarios where HMPL is already deployed.
Daniel Devatman Hromada
Juniorprofessor, Berlin University of the Arts, Germany
Daniel Devatman Hromada is since August 2018 UdK’s Juniorprofessor for Digital Education affiliated to both Einstein Center Digital Future (ECDF) as well as Berlin University of the Arts.
Born in 1982 in Bratislava, he holds bachelor degrees in humanities from Charles University (Prague) and in linguistics from University of Nice Sophia-Antipolis;a master degree in artificial and natural cognition from Ecole Pratique des Hautes Etudes (Paris). He holds a double doctorate from both Slovak Technical University (cybernetics) as well as University Paris 8 – Lumieres (psychology).
He is a founder and first senator of the oldest Slovak digital community kyberia.sk. Main project of his current interest is design, coding and deployment of a book-like, speech-based "Personal Primer".