Digital Summit 2019

It’s a great pleasure supporting on October 28, this year’s DIGITAL SUMMIT together with other experts from the “Platform Learning Systems, the Platform for Artificial Intelligence” #DigitalGipfel19 #platformeconomy

The Digital Summit (previously the National IT Summit) and the work that takes place between the summit meetings form the central platform for cooperation between government, business, academia and society as we shape the digital transformation. We can make best use of the opportunities of digitisation for business and society if all the stakeholders work together on this.

The National IT Summit was renamed the Digital Summit in 2017. This was to take account of the fact that digitalisation comprises not only telecommunications technology, but the process of digital change in its entirety – from the cultural and creative industries to Industrie 4.0.

The Digital Summit aims to help Germany to take advantage of the great opportunities offered by artificial intelligence whilst correctly assessing the risks and helping to ensure that human beings stay at the heart of a technically and legally secure and ethically responsible use of AI

The Digital Summit looks at the key fields of action within the digital transformation across ten topic-based platforms. The platforms and their focus groups are made up of representatives from business, academia and society who, between summit meetings, work together to develop projects, events and initiatives designed to drive digitalisation in business and society forward. The Summit will serve to present the results of the work that has been done in the past, to highlight new trends and discuss digital challenges and policy approaches.

Looking forward moderating the Panel Discussion on “Digital Platforms for new AI-based Services”

Handelsblatt: How Artificial Intelligence can make banking more efficient

by Katharina Schneider – Handelsblatt, 21 August 2019

“It has been inspiring discussing with Katharina Schneider about AI and the future of the financial sector and being quoted in her article among other experts as Prof. Andreas Dengel (DFKI), Dirk Elsner (DZ Bank) and Nils Beier (Accenture) . Read the original article here

Jochen Werne

Frankfurt The interplay between artificial intelligence and the financial sector in Great Britain will soon be very vivid: from 2021, the portrait of Alan Turing will adorn the new 50 pound notes. The scientist is known for his early research on computer technology. (translated with DeepL.com)

Read the original article here

AI-WHITEPAPER: Work, Qualification and Human-Machine Interaction

The Working Group 2 “Future of Work and Human-Machine Interaction” of the German Platform for Artificial Intelligence “Platform Learning Systems” recently published its Whitepaper.

The working group focuses on human-centred design of the future working world and on human-machine interaction issues (HMI). At the same time the working group serves as the interface between HMI and the area of Manufacturing and Industrie 4.0.

It’s an inspiring honour being member of this body of experts.

Download the Whitepaper here

AI-supported scenarios will be found in almost every industry in future. However, their degree of benefit varies greatly depending on the current state of technology, the scenario and the customer’s acceptance. In addition to valid B2B industry applications, AI-based chatbot solutions are for example currently reaching market maturity. A project using AI-technology must therefore take into account the respective use-case context and framework conditions.

Jochen Werne, Bankhaus August Lenz & Co. AG

About this Whitepaper

This paper was prepared by the Working Group Work/Qualification, Human-Machine Interaction of the Learning Systems Platform. As one of a total of seven working groups, it investigates the potentials and challenges arising from the use of artificial intelligence in the world of work and life. The focus is on questions of transformation and the development of humane working conditions. It also examines the requirements and options for qualification and lifelong learning, as well as starting points for shaping human-machine interaction and the division of labour between humans and technology.

The Working Group is lead by:

Prof. Dr. Elisabeth André, Universität Augsburg
Prof. Dr.-Ing. Prof. e. h. Wilhelm Bauer, Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO und Universität Stuttgart

Members of the Working Group are:

Prof. Dr. Lars Adolph, Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA)Prof. Dr.-Ing. Jan C. Aurich, TU Kaiserslautern
Vanessa Barth, IG Metall
Klaus Bauer, TRUMPF Werkzeugmaschinen GmbH + Co. KGNadine Bender, KUKA Deutschland GmbH
Prof. Dr. Angelika Bullinger-Hoffmann, TU Chemnitz
Prof. Dr.-Ing. Barbara Deml, Karlsruher Institut für Technologie (KIT)
Prof. Dr. Prof. h.c. Andreas Dengel, TU Kaiserslautern und
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH
Dr. Jan-Henning Fabian, ABB AG
Prof. Dr.-Ing. Sami Haddadin, Munich School of Robotics and Machine Intelligence,
TU München
Prof. Dr. Michael Heister, Bundesinstitut für Berufsbildung (BIBB)
Dr. Norbert Huchler, Institut für Sozialwissenschaftliche Forschung e.V. (ISF-München)Dr. Nadine Müller, Vereinte Dienstleistungsgewerkschaft (ver.di)
Dr. Rahild Neuburger, Ludwig-Maximilians-Universität München
Prof. Dr.-Ing. Annika Raatz, Leibniz Universität Hannover
Prof. Dr.-Ing. Jürgen Roßmann, Rheinisch-Westfälische Technische Hochschule AachenProf. Dr. Christoph M. Schmidt, RWI – Leibniz-Institut für Wirtschaftsforschung und Ruhr-Universität Bochum
Prof. Dr. Jochen Steil, TU Braunschweig
Andrea Stich, Infineon Technologies AG
Oliver Suchy, Deutscher Gewerkschaftsbund (DGB)
Prof. Dr.-Ing. Sascha Stowasser, Institut für angewandte Arbeitswissenschaft (ifaa)
Dr. Hans-Jörg Vögel, BMW Group
Dr. Bernd Welz, SAP SE
Jochen Werne, Bankhaus August Lenz & Co. AG

The Working Group is supported by:

Dr. Chi-Tai Dang, Universität Augsburg
Dr. Andreas Heindl, Geschäftsstelle der Plattform Lernende Systeme
Dr.-Ing. Matthias Peissner, Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAODr. Anke Soemer, Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.