CategoriesTeaching courses

Responsible AI for Human Support Seminar

Responsible AI for Human Support (RAI4HS) 

by Dr Daniele DI MITRI (dimitri@dipf.de)

Abstract

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, machine translation or music recommendations. But can we design AI tools that can support humans in their decision and augment human abilities in day-to-day life? In this seminar, we will focus on different ways in which AI can support human decisions and activities, with a particular focus on education and human learning. We will look at the opportunities that AI brings to humans as well as the connected risks. We will delve into the assumptions, models and principles which need to be embedded in the AI system to make them fair, trustable, explainable and understandable for the user.

 

Learning goals

The participants of this seminar will learn about:

  • Peculiarities of AI systems for human support
  • Various roles that AI can have for humans with a strong focus on education
  • Design components of Human-AI systems
  • Connections to human psychology, communication and learning
  • User modelling and user adaptation
  • Roles that humans can have in shaping and influencing AI systems
  • Multimodal and multi-sensor data collection and analysis
  • Role of feedback in AI applications
  • Components for Responsible AI systems including Ethics, Privacy and Trust
  • Algorithmic transparency and explainability
  • Research directions and opportunities in the field

Methodology

This is a “design seminar” that uses Problem Based Learning. The participants will divide into couples and conduct a research assignment that will last the entire duration of the seminar. The assignment consists of the design of an Artificial Intelligence system applied in the field of education and learning. The assessment will be based on a final presentation and a final report to be submitted by each team.

Due to Corona, the seminar will take place via Moodle and Zoom Sessions. The seminar will require mandatory participation in one online meeting (Zoom session) per week for the duration of 1 or 2 hours. In the online meetings, the participants of the seminar will be able to attend different lectures, group-discussion, Q&As and brainstorming sessions.

This seminar is offered by the Educational Technology group (www.edutec.science) of the DIPF, the Leibniz Institute for Research and Information in Education.  The whole seminar will be in English.

 

Assessment

The final assessment would be based on:

  1. a group-project work to be carried throughout the seminar
  2. final presentation
  3. final scientific report
  4. active participation in the seminar

Published by Daniele Di Mitri

Daniele Di Mitri is a professor of Multimodal Learning Technologies at the German University of Digital Science. At the German UDS, he leads the research group "Augmented Feedback" and coordinates the master's in Advanced Digital Realities.  He is an associated researcher at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele Di Mitri received his PhD in Learning Analytics and Wearable Sensor Support from the Open University of the Netherlands. His current research focuses on developing AI-driven, multimodal learning technologies to enhance digital education. It aims to create innovative, responsible solutions that improve learning experiences through advanced feedback systems and ethical integration of technology. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the CrossMMLA, a special interest group of the Society for Learning Analytics Research, and the chair of the special interest group on AI for Education of the European Association for Technology-Enhanced Learning.

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