Next Exit Future: How Artificial Intelligence change the way we navigate from A to B

Speaker:  Johannes Schöning – Bremen, Germany
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

Abstract

Millions of people use platforms such as Google Maps to search for routes to their desired destinations. Complex algorithms and artificial intelligence (AI) decides where to turn next. Recently, researchers and mapping platforms have shown growing interest in optimizing routes for criteria other than travel time, e.g. simplicity, safety, and beauty. However, despite the ubiquity of algorithmic routing and its potential to define how millions of people move around the world, very little is known about the externalities that arise when adopting these new optimization criteria, e.g. potential redistribution of traffic to certain neighborhoods and increased route complexity (with its associated risks). In my lecture, I will for example focus on a controlled examination of society-level and route-specific externalities of routing algorithms. 

In addition, I will highlight how geography is playing an increasingly important role in areas like human-computer interaction and AI, ranging from social computing to machine learning. In my talk I will present results from our own  interdisciplinary research with recent research in the field. 

About this Lecture

Number of Slides:  20 - 90
Duration:  20 - 90 minutes
Languages Available:  Dutch, English, German
Last Updated: 

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