What is it about humanity that we can't give away to intelligent machines? A European perspective
| Autor: | Niels Frederik Garmann-Johnsen, Marcelo Fantinato, Christian Grimme, Peter Kawalek, Heike Trautmann, Armin Stein, Katrin Bergener, Patrick Stacey, João Álvaro Carvalho, Boyka Simeonova, Crispin Coombs, Jörg Becker |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer Networks and Communications
05 social sciences Perspective (graphical) 02 engineering and technology Library and Information Sciences ROBÔS Domain (software engineering) 020204 information systems 0502 economics and business Humanity 0202 electrical engineering electronic engineering information engineering 050211 marketing Engineering ethics Sociology Intelligent machine Information Systems VDP::Samfunnsvitenskap: 200::Biblioteks- og informasjonsvitenskap: 320 |
| Zdroj: | International Journal of Information Management Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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