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Thursday, September 29
05:00 PM - 05:45 PM
Live in Berlin
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-> Background: Vehicle systems that employ artificial intelligence methods in safety-relevant functions are expected to require some level of continuous performance monitoring and control at the fleet level once they are deployed in the field. Such capabilities are expected to become a regulatory requirement in the future. For example, the European Commission is working on a comprehensive regulatory framework for AI, the Artificial Intelligence Act [1]. It addresses the risks of specific applications of AI, including for AI systems that exhibit “partially autonomous behavior”. It also establishes obligations for the monitoring of high-risk AI systems that are deployed in the field.
[1] European Commission. Proposal for an Artificial Intelligence Act. Online at https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence
Dr. Jürgen Bohn received his Master's degree in Computer Science from the Karlsruhe Institute of Technology (KIT), Germany and his PhD in Pervasive Computing from ETH Zurich, Switzerland.
From 2006 to 2014, Dr. Bohn led the RFID group at Von Braun Labs in Campinas/Sao Paulo, Brazil, where he developed radio-frequency-based identification solutions for logistics, electronic vehicle registration and tolling. From 2014 to 2016, he was the Chief System Architect for the MYNXG Industrial Internet-of-Things (IIoT) platform at MyOmega Systems Technologies in Nuremberg, Germany.
In 2016, Dr. Bohn joined Schaeffler Digitalization in Herzogenaurach to establish the Data Architecture & Engineering practice. With his team of data experts, he delivered and operated the Schaeffler Big Data & Analytics Platform and Schaeffler Data Lake on the Microsoft Azure Cloud.
Since October 2020, Dr. Bohn has been leading the Innovation Cluster for Artificial Intelligence and Digital Solutions in Corporate R&D at Schaeffler. He works closely with R&D business units worldwide to improve the functionality, performance and cost effectiveness of Schaeffler products using AI and machine learning methods.
His work on AI applications and partnerships covers mechatronic systems, automated vehicles, mobile robots, and digital solutions for the automotive, automotive aftermarket and industrial divisions.
Dr. Bohn is passionate about driving innovation by combining technologies and concepts from different fields in order to create novel solutions to real-world business problems, and has filed several patents in this regard.
The Schaeffler Group is a leading global supplier to the automotive and industrial sectors. Its portfolio includes high-precision components and systems for engine, transmission, and chassis applications as well as rolling and plain bearing solutions for a large number of industrial applications. The Schaeffler Group is already shaping “Mobility for tomorrow” to a significant degree with innovative and sustainable technologies for electric mobility, digitalization, and Industry 4.0.
The technology company generated sales of approximately EUR 14.4 billion in 2019. With around 87,700 employees, Schaeffler is one of the world’s largest family companies and, with approximately 170 locations in over 50 countries, has a worldwide network of manufacturing locations, research and development facilities, and sales companies.