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Human-Machine Teaming – the Way forward to a Super-Smart Society: AI and Autonomous Systems

  • Erwin Schoitsch (Speaker, Keynote)

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

This paper provides an overview on a new evolutionary approach to a super-smart society of the future, which may really revolutionize our society in the long term in a disruptive manner. It is a concept which assumes a constructive change of the way of cooperation between humans and “machines” as a well-defined team, in the following addressed as “Human-Machine Teaming”
(HMT). This could change our attitude to AI-based systems of all kinds (“machines” are the “AI” in e.g., robotic systems, but also business, financial, healthcare, mobility or administrative systems) and of different levels of “intelligence” and autonomy, with which humans are interacting. This approach
is driven primarily by Japanese experts, e.g., in AI-Standardization (ISO/IEC JTC1 SC42 WG4). The long-term vision follows the Japanese official concept of “Society 5.0”. A discussion of this concept was done first in IDIMT 2019 (Schoitsch 2019). This paper outlines the “Society 5.0” concept and reports on the most recent activities and EU-Japan joint workshops on AI Ethics and Human-
Machine Teaming (HMT) as an advanced implementation. This is also part of the AI-Task Force Workstream in the European INSTAR project which strives for aligning AI standardization priorities between different global regions and Europe. HMT is an advanced implementation of smart technologies and AI with strong impact on society, which are the drivers of economic and societal
disruptive changes and a chance to shape our future in a beneficial way (but no chance without risk).
Original languageEnglish
Title of host publicationIDIMT-2025 ICT in Business: AI Everywhere? Glory and Disgrace of AI
Subtitle of host publication33 rd Interdisciplinary Information Management Talks
EditorsPetr Doucek, Michael Sonntag, Lea Nedomova
Pages183-192
Volume54
DOIs
Publication statusPublished - 2025
Event33 rd Interdisciplinary Information Management Talks - Hradec Králové, Hradec Králové, Czech Republic
Duration: 3 Sept 20255 Sept 2025

Conference

Conference33 rd Interdisciplinary Information Management Talks
Country/TerritoryCzech Republic
CityHradec Králové
Period3/09/255/09/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Field

  • Dependable Systems Engineering

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