Content - Plenary Session: New Working Environment with AI

Plenary Session: New Working Environment with AI

AI for Happiness of People
Chair: Dr. Kazuo Yano

AI links the objective with the conditions without the logic behind them. Unlike the conventional rules that fix the actions independent of the conditions, AI enables flexible actions depending on the conditions. The highest and greatest objective is important in this new regime. The highest objective of the society is the happiness of the society. We have discovered a method to quantify the happiness of people from delicate movements of the body using an accelerometer. And we also have developed AI technology that supports enhancement of people's happiness using big data. From a society seeking to follow uniform rules in the past, it is possible to realize a society in which flowers bloom in the place where the person is located. In this presentation, I would like to show the whole picture of this new society.

AI at Work - How We Can Shape the Collaboration Between Man and Machine
Chair: Dr. Matthias Peissner

Exploiting the full potential of AI in working environments will require new forms of human-technology interaction. In a “symbiotic man-machine-collaboration”, human workers and intelligent technology dynamically share initiative, action and responsibility. To make this a fruitful collaboration, we still need technological advancements. However, major challenges seem to lie in organizational, cultural and psychological areas – and in the design of human-technology interfaces.

How Does AI Change HR and Education Landscape?
Dr. Masahiro Fukuhara

The Fourth Industrial Revolution is radically shifting the global economic landscape, and changing the nature of jobs and the profile of skills required in the labor force. Adapting to these evolving trends will be a critical challenge in terms of human resources development and job creation for Society 5.0. While previous education systems provided the hard skills and soft skills necessary to sustain economic growth, going forward into the 21st century it is essential that institutions work towards building national education policies and structures which will promote increased productivity, employment opportunities, and inclusive economic growth. In order to tackle the current misalignment between skills supply and skills demand, we would like to recommend a three-pronged approach towards addressing this challenge: 1) introduce a new model for visualizing skills mismatch by leveraging AI and big data, 2) propose an innovative education and HR model that emphasizes technical and vocational Competency-Based Learning (CBL), and 3) create AI driven smart contracts with utility token platforms for enhancing education service and fixing the mismatch between companies and learners through a proper incentive scheme on Blockchain. Our aim is to construct a regional public-private partnership among Germany, France, Asian Pacific countries and Japan.

AI and the Smart Factory
Klaus Bauer

Artificial Intelligence (AI) is one of the important technologies to enable the vision of a smart factory.
AI can be used in different functional levels including:

  • Sensor-Level
  • Machine-Level
  • Factory-Level
  • Cloud-Level

When used correctly, AI helps to improve the productivity of your production dramatically. At the same time, AI is increasing the quality of all processes, enables “just in time delivery” and optimizes the cost-effectiveness of the complete value chain.

The Crucial Importance of Understanding AI
Prof. Dr. Daniel Andler

Fuelled by deep learning and big data, AI has now invaded every corner of human activity and become an area of popular concern. Yet AI has come to mean different things, creating a confusion that compounds the uncertainties surrounding its short-, medium- and long-term development. Decision-makers must have a genuine understanding of AI if they are to foster a rational and beneficial AI policy at every level – from R&D to implementation in organisations large and small. In the workplace, an understanding of the AI-powered tools used by workers is no less essential and this is also true for AI-powered devices in everyday life. The major challenge now is how we can foster an appropriate level of understanding of AI in these different contexts. - Fresh Opportunities to Get Back into the Game
Alexander Diehl

As human machine interaction will move from smart-to-dumb to smart-to-smart over the next decade, there will be great opportunities for companies that solve the interaction layer design - allowing new market entries and
opportunities for incumbents to reposition themselves.