What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective

Coombs, Crispin; Stacey, Patrick; Kawalek, Peter; Simeonova, Boyka; Becker, Jörg; Bergener, Katrin; Carvalho, João Álvaro; Fantinato, Marcelo; Garmann-Johnsen, Niels F.; Grimme, Christian; Stein, Armin; Trautmann, Heike

Research article (journal) | Peer reviewed

Abstract

One of the most significant recent technological developments concerns the development and implementation of ‘intelligent machines’that draw on recent advances in artificial intelligence (AI) and robotics. However, there are growing tensions between human freedoms and machine controls. This article reports the findings of a workshop that investigated the application of the principles of human freedom throughout intelligent machine development and use. Forty IS researchers from ten different countries discussed four contemporary AI and humanity issues and the most relevant IS domain challenges. This article summarizes their experiences and opinions regarding four AI and humanity themes: Crime & conflict, Jobs, Attention, and Wellbeing. The outcomes of the workshop discussions identify three attributes of humanity that need preservation: a critique of the design and application of AI, and the intelligent machines it can create; human involvement in the loop of intelligent machine decision-making processes; and the ability to interpret and explain intelligent machine decision-making processes. The article provides an agenda for future AI and humanity research.

Details about the publication

JournalInternational Journal of Information Management
Volume58
StatusPublished
Release year2021 (30/01/2021)
Language in which the publication is writtenEnglish
DOI10.1016/j.ijinfomgt.2021.102311
Link to the full texthttps://www.sciencedirect.com/science/article/pii/S0268401221000049
KeywordsArtificial Intelligence; Robots; Intelligent Machines; Humanity; Humanism; European

Authors from the University of Münster

Becker, Jörg
Chair of Information Systems and Information Management (IS)
Bergener, Katrin
Chair of Information Systems and Information Management (IS)
Grimme, Christian
Data Science: Statistics and Optimization (Statistik)
Research Group Computational Social Science and Systems Analysis (CSSSA)
Stein, Armin
Chair of Information Systems and Information Management (IS)
Trautmann, Heike
Data Science: Statistics and Optimization (Statistik)