Overview of the eight approved projects
Explainable Intelligent Systems (EIS)
Disciplines: Computer science, philosophy, psychology and law
The project is about the explicability of AI-based decisions, and thus focuses on one of the key questions surrounding the use of AI systems in society.
Assist. Prof. Dr. Lena Kästner, Prof. Dr. Georg Borges, Prof. Dr. Ulla Wessels, Dr. Markus Langer, Prof. Dr. Holger Hermanns, all from the University of Saarland, and Prof. Dr. Eva Schmidt, TU Dortmund.
Reclaiming Individual Autonomy and Democratic Discourse Online: How to Rebalance Human and Algorithmic Decision Making
Disciplines: Psychology, computer science, educational research and cyber security
The research project focuses on targeted manipulation through the misinfor-mation spread via large internet platforms as well as on the development of transparent information architectures.
Prof. Dr Ralph Hertwig, Dr. Stefan Herzog, both Max Planck Institute for Human Development, Berlin; Prof. Dr Tina Eliassi-Rad, Northeastern University, Boston/USA; Prof. Stephan Lewandowsky, PhD, Prof. Dr Awais Rashid, both University of Bristol, Bristol/UK
Human-AI-Interaction in Healthcare: Identifying Factors Contributing to Clinical Utility
Disciplines: Psychology, computer science, medicine
The project focuses on the optimization of human-AI interactions in the healthcare sector, among other things in the sense of improving patient safety.
PD Dr Eva Lermer, Ludwig-Maximilians-Universität Munich; Dr Marzyeh Ghassemi, University of Toronto, Toronto/Canada; Dr Andreas Schicho, University Hospital Regensburg
Bots Building Bridges (3B): Theoretical, Empirical, and Technological Foundations for Systems that Monitor and Support Political Deliberation Online
Disciplines: Computer science, social sciences, psychology
The project aims to develop tools and methods for the identification and impact of manipulative "social bots" and to develop strategies for possible counter-measures to support the free formation of political opinion on the internet.
Prof. Dr. Philipp Cimiano, Prof. Dr. Elena Esposito, both University of Bielefeld; Dr. Robert Ackland, Australian National University, Canberra/Australia; Prof. Dr. Udo Seelmeyer, Bielefeld University of Applied Sciences; Prof. Dr. Tony Veale, University College Dublin, Ireland
Deliberation Laboratory (DeLab)
Disciplines: Social sciences, philosophy, sociology, linguistics
With the DeLab, the project aims at an AI intervention system with which con-structive, reasonable and responsible communication in social media can suc-ceed across cultural boundaries.
Dr. Valentin Gold, Georg-August-Universität Göttingen; Prof. Dr. John Parkinson, Maastricht University/Netherlands; Dr. Katarzyna Budzynska, Warsaw University of Technology, Warsaw/Poland; Prof. Chris Reed, Ph.D., University of Dundee, Dundee/United Kingdom; Dr. Annette Hautli-Janisz, University of Konstanz
Consequences of Artificial Intelligence for Urban Societies (CAIUS) Using Impact-Aware AI to Make Smart Cities Socially Equitable
Disciplines: Social sciences, computer science, information sciences
The project investigates the opportunities and risks for the use of intelligent systems in urban and transport planning.
Prof. Dr. Kai Eckert, Stuttgart Media University; Prof. Dr. Frauke Kreuter, Dr. Ruben Bach, Dr. Christoph Kern, Prof. Dr. Heiner Stuckenschmidt, all University of Mannheim
AI FORA – Artificial Intelligence for Assessment
Disciplines: Social sciences, sociology, computer science
The project investigates the status quo of AI-based social assessment underly-ing the distribution of public services. The findings should enable better AI tech-nologies for social welfare systems.
Prof. Dr. Petra Ahrweiler, Johannes Gutenberg University Mainz; Prof. Dr. George Kampis, German Research Centre for Artificial Intelligence GmbH, Kaiserslautern; Prof. Dr Elisabeth André, University of Augsburg, Prof. Nigel Gilbert, Ph.D., University of Surrey, Surrey/UK; Dr. Alexandra Penn, CECAN Centre for the Evaluation of Complexity Across the Nexus, Guildford/UK
Towards a Science of Curiosity
Disciplines: Computer science, educational research
The aim of the project is to understand how children explore their environment in order to implement this behavior in computer algorithms via a theory of child-like curiosity. This could lead to robots showing similar learning patterns.
Dr. Eric Schulz, Max Planck Institute for Biological Cybernetics; Dr. Georg Martius, Max Planck Institute for Intelligent Systems, Tübingen location;
Prof. Dr. Azzurra Ruggeri, Max Planck Institute for Human Development, Berlin
Further information on the Volkswagen Foundation's funding initiative "Artificial Intelligence and the Society of the Future" can be found under: