With the rise of foundation models, machine learning systems are able to accomplish more than ever before. However, it is still important to incorporate human-centric viewpoints towards understanding them. With this workshop, we aim to bring together the cognitive and technical sides of machine learning, towards a holistic understanding of the systems we work with.

The workshop will consider research on approaches to machine learning and human-centric design and analysis of these models. Topics of interest will include (but will not be limited to):

• Computer vision
• Natural language processing
• Causality
• Human-inspired AI
• Foundation models as models of human cognition

The workshop will contain keynote talks from known researchers in the field, invited talks from Helmholtz AI research groups located in Munich, and posters. 

Agenda

09:00-09:20  Registration
09:20-09:30  Welcome, Eric Schulz
09:30-10:15  Keynote 1: Rich Shiffrin
10:15-10:30  Short Talk 1: Marcel Binz
10:30-11:00  Break (coffee will be provided)
11:00-11:30  Keynote 2: Zeynep Akata
11.30-11:45  Short Talk 2: Vincent Fortuin
11.45-12:00  Short Talk 3: Niki Kilbertus
12:00-13:15  Lunch (food will be provided)
13:15-13:30  Short Talk 4: Steffen Schneider
13:30-14:00  Keynote 3: Rahaf Aljundi
14:00-14:30  Break (coffee will be provided)
14:30-14:45  Short Talk 5: Luca Eyring
14:45-15:00  Short Talk 6: Yahas Annadani
15:00-15:15  Farewell and Transition to Posters
15:15-17:00  Posters