Responsible Artificial Intelligence for Education and Human Support
I am a researcher at the DIPF and lecturer at Goethe University of Frankfurt.
My research focuses on AI in Education, human-AI interaction, Learning analytics and Multimodality.
I'm available to work together.
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Our paper MOBIUS: Smart Mobility Tracking with Smartphone Sensors was granted the Best Paper Award at the 11th EAI International Conference Sensor System and Software (S-Cube).
New adventures are coming! From 1st November 2020, I join the Educational Technologies group at DIPF | Leibniz Institute for Research and Information in Education in Frankfurt am Main, Germany.
The DIPF is the national think-tank in Education research in Germany. It works in close cooperation with Goethe University.
My new role is of Group Research Leader on the topic of Artificial Intelligence in Education (#AIED). I will join the team of my former PhD advisors Hendrik Drachsler and Jan Schneider Barnes. Never change a winning team 😉
On the 4th September 2020, it took place the long-awaited moment: I defended my PhD thesis:
The Multimodal Tutor - Adaptive Feedback from Multimodal Experiences. Finally, after a long journey lasted 4 years I was awarded the title of Doctor of Philosophy (PhD).
Subscribe for free! https://www.ou.nl/-/aanmeldformulier-masterclass-humanai
Do you want to learn how to apply principles of Responsible AI in the design of AI systems that interact with humans? Many concepts of Artificial Intelligence (AI) such as ‘machine learning’ or ‘artificial neural networks’ are inspired by human intelligence. Most of the applications people use every day are powered by human data such as movie streaming apps, speech recognition and translation or music recommendations. But how to best design AI tools which can support humans in their decisions and augment human abilities in day to day life? In the Human AI masterclass, we will focus on different ways in which AI can support human decisions and activities.
COSTS You can participate for free, and online
AGENDA
* 09:45 - 10:00 Welcome words and preparation
* 10:00 - 10:15 Introduction presentation
* 10:15 - 10:30 Round of presentation
* 10:30 - 11:15 Lecture 1 - Artificial intelligent systems for human support
* 11:15 - 12:00 Break-out session 1 - designing an AI system
* 12:00 - 13:00 Lunch break
* 13:00 - 13:45 Lecture 2 - User modelling and user adaptation
* 13:45 - 14:30 Break-out session 2
* 14:30 - 15:15 Lecture 3 - Responsible AI and ethics
* 15:15 - 16:00 Break-out session 3
* 16:00 - 16:45 Final presentations of the projects
* 16:45 - 17:00 Conclusions & evaluation
SESSION DETAILS
INTRODUCTION PRESENTATION (10:00 - 10:15)
We explain the motivations behind the course, in particular why talking about AI interfacing with Humans is relevant in this context.
ROUND OF PRESENTATION (10:15 - 10:30)
Participants present themselves in 30 seconds LECTURE 1 - ARTIFICIAL INTELLIGENT SYSTEMS
FOR HUMAN SUPPORT (10:30 - 11:15)
Lecture 1 gives an overview of the existing AI
systems for human support including emotion
detection, speech recognition and recommendation
engines. Potential connected risks in these
areas are introduced.
BREAK-OUT SESSION 1 (11:15 - 12:00 )
The participants gather in groups to decide on the functionality of their AI tool by picking from a pool of ideas of HumanAI applications or by coming up with another interesting one.
BREAK-OUT SESSION 2 (13:45 - 14:30)
Participants continue working on the selected functionality, this time trying to the aim of applying user-modelling and HCI principles to make sure their AI tool fully models and understands
the user correctly.
LECTURE 3 - RESPONSIBLE AI AND ETHICS (14:30 - 15:15)
Lecture 3 touches on three main pillarls constituting the Responsible AI: Ethics & Privacy, Fairness and Explainability.
BREAK-OUT SESSION 3 (15:15 - 16:00)
In the last breakout session, the participants try to improve the design of their AI tool/ functionality having in mind the Responsible AI principles.
FINAL PRESENTATION (16:00 - 16:45)
Each group presents their AI-tool functionality explaining the decisions taken.
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